Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Genesis10 is currently seeking a Senior Data Analyst - Onsite for a Contract-to-Hire position with a Major Insurance Company located in New York, NY. Compensation: $75.00 - $85.00 per hour, W2, based on qualifications Position Overview: As a Senior Data Analyst, this role plays a critical part in advancing stakeholder reporting, data quality, and analytical capabilities. This position owns the end-to-end integration of complex policy, claims, underwriting, and financial data into structured data marts. Combining advanced insurance domain expertise with data analysis and engineering, the ideal candidate will solve complex data challenges, influence decision-making, and identify opportunities to improve operational effectiveness. Key Responsibilities: Design advanced analyses and metrics leveraging AI tools and technology to improve performance, scalability, and reusability of datasets and dashboards Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, and audits Independently diagnose data quality, integration, and reporting issues across multiple systems Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, and Data Engineering teams Effectively communicate complex analytical findings to both technical and non-technical audiences Mentor and provide guidance to other analysts Primary Requirements: Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field 5+ years of progressive experience in data analysis, business intelligence, analytics, or regulatory reporting Demonstrated experience supporting regulatory, statutory, compliance, or financial reporting processes Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, or finance Advanced proficiency in SQL and experience working with large-scale relational databases and data warehouses Experience with cloud-based data platforms such as Snowflake Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments Proven ability to influence stakeholders and collaborate effectively across technical and business teams Strong verbal, written, presentation, and data storytelling skills Familiarity with AI concepts Strong SQL and a solid understanding of core data warehouse concepts, including data modeling, integration, reconciliation, and data quality An analytics mindset, with the ability to translate business questions into data analysis and actionable insights Data engineering experience is valuable, but not looking for a deeply specialized data engineer. Desired Skills: Master's degree in a quantitative, analytical, or business-related discipline Property & Casualty insurance industry experience, including good working knowledge of P&C insurance fundamentals, particularly policy and claims data and the ability to understand the business meaning behind the data Experience with Python, Power BI, or similar analytical and visualization platforms Experience with data governance frameworks, metadata management, data lineage, and data quality programs Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent) Experience partnering with Actuarial teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/09/2026
Full time
Genesis10 is currently seeking a Senior Data Analyst - Onsite for a Contract-to-Hire position with a Major Insurance Company located in New York, NY. Compensation: $75.00 - $85.00 per hour, W2, based on qualifications Position Overview: As a Senior Data Analyst, this role plays a critical part in advancing stakeholder reporting, data quality, and analytical capabilities. This position owns the end-to-end integration of complex policy, claims, underwriting, and financial data into structured data marts. Combining advanced insurance domain expertise with data analysis and engineering, the ideal candidate will solve complex data challenges, influence decision-making, and identify opportunities to improve operational effectiveness. Key Responsibilities: Design advanced analyses and metrics leveraging AI tools and technology to improve performance, scalability, and reusability of datasets and dashboards Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, and audits Independently diagnose data quality, integration, and reporting issues across multiple systems Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, and Data Engineering teams Effectively communicate complex analytical findings to both technical and non-technical audiences Mentor and provide guidance to other analysts Primary Requirements: Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field 5+ years of progressive experience in data analysis, business intelligence, analytics, or regulatory reporting Demonstrated experience supporting regulatory, statutory, compliance, or financial reporting processes Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, or finance Advanced proficiency in SQL and experience working with large-scale relational databases and data warehouses Experience with cloud-based data platforms such as Snowflake Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments Proven ability to influence stakeholders and collaborate effectively across technical and business teams Strong verbal, written, presentation, and data storytelling skills Familiarity with AI concepts Strong SQL and a solid understanding of core data warehouse concepts, including data modeling, integration, reconciliation, and data quality An analytics mindset, with the ability to translate business questions into data analysis and actionable insights Data engineering experience is valuable, but not looking for a deeply specialized data engineer. Desired Skills: Master's degree in a quantitative, analytical, or business-related discipline Property & Casualty insurance industry experience, including good working knowledge of P&C insurance fundamentals, particularly policy and claims data and the ability to understand the business meaning behind the data Experience with Python, Power BI, or similar analytical and visualization platforms Experience with data governance frameworks, metadata management, data lineage, and data quality programs Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent) Experience partnering with Actuarial teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Genesis10 is seeking a Data Architect for our client in the utilities industry. This long term contract position is located in Dallas, TX 77202. Hybrid schedule 2-3 days onsite. W2 Hourly Pay rate range: ($85-100/hr Depending on experience) Description: We are seeking a Data Architect to own the strategic design and governance of our enterprise data landscape, built on Oracle on-premise database platforms and modeled using Erwin. This role sits above individual project data models: you will define the enterprise-wide data architecture, standards, and target operating model that all data modelers, engineers, and DBAs build against, while personally handling the highest-complexity, highest-volume modeling and architecture decisions across the organization. You will bring proven experience architecting for large-scale data volumes (multi-GB to multi-TB), regulated environments, and the performance, scalability, and integrity demands that come with them. You will also be responsible for assisting in development and management of Data Governance and Master Data Management solutions. You must be comfortable presenting deep technical concepts to non-technical leadership i.e., have good technical and communication skills coupled with the ability to provide technical mentorship. Key Responsibilities Data Architecture & Data Strategy Define and own the enterprise data architecture strategy, including target-state data models, subject area models, and reference architectures across the Oracle on-premise estate. Establish enterprise-wide data modeling standards, naming conventions, and governance policies within Erwin, and ensure consistent adoption across data modeling and engineering teams. Own the enterprise Erwin model repository/mart: subject area organization, model versioning, complex merges, and cross-model consistency at scale. Partner with stakeholders (Application Teams, Enterprise Architecture, business unit leaders) to translate business strategy into a coherent, long-term data architecture roadmap. Evaluate and architect for scalability, performance, and maintainability of Oracle databases handling large data volumes (GB to multi-TB scale), including partitioning, indexing, and storage strategy at the architectural level. Assist in promoting the Data Architecture function to increase the adoption of Data Virtualization (Denodo) across the enterprise. Data Modeling & Design Oversight Design and review conceptual, logical, and physical data models for the most complex, cross-functional, and high-volume domains in the enterprise. Provide architectural review and approval of data models produced by senior/staff data modelers, ensuring alignment with enterprise standards, referential integrity, and downstream performance implications. Lead reverse-engineering and rationalization efforts for large, legacy Oracle schemas, consolidating and simplifying where architecturally sound. Guide both OLTP/3NF and dimensional (star/snowflake) modeling approaches, selecting the right pattern for transactional, operational, and analytical workloads. Governance, Performance & Risk Assist in enriching the enterprise data governance artifacts tied to the architecture: business glossary, data lineage, metadata repository, and data dictionary standards. Lead capacity planning and performance architecture for large Oracle databases anticipating growth in data volume and ensuring the model and physical design scale accordingly. Assess and mitigate architectural risk in schema changes at enterprise scale, including impact analysis across integrated systems. Ensure data architecture practices meet regulatory, security, and compliance requirements applicable to the industry. Establish policies, procedures and guidelines regarding all aspects of Data Governance Master Data Management Assist in establishment of policies, procedures and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented and best practices are adhered to. Developing a strategic roadmap for MDM, and assisting in developing a roadmap and its implementation Leadership & Collaboration Mentor and provide technical direction to data modelers, ETL developers, and DBAs on modeling best practices, Erwin usage, and Oracle architecture patterns. Act as the primary architectural liaison between business stakeholders, application teams, DBAs, and infrastructure teams. Present architecture decisions, trade-offs, and roadmaps to senior leadership and non-technical stakeholders. Provide mentorship to Data Analysts to ensure data management and design best practices are adhered to. Collaborate with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movement and data transformation. Required Qualifications 10+ years of experience in data architecture, data modeling, or database engineering, including prior experience as a senior/lead data modeler, solution architect or data architect. Deep, hands-on expertise with Erwin Data Modeler at an enterprise scale (model mart, subject areas, complex compare/merge, versioning across large teams). Strong expertise in Oracle Database (on-premise), including advanced SQL/PL-SQL, schema design, partitioning, indexing strategy, and performance tuning at the architectural level. Demonstrated experience architecting and modeling for large data volumes (GB to multi-TB scale) with a track record of designs that scaled successfully in production. Strong command of data modeling theory (normalization/denormalization, cardinality, keys, referential integrity) and dimensional modeling (star/snowflake) for analytics. Experience defining enterprise data standards, governance frameworks, and metadata/lineage practices. Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking Proven ability to operate at the intersection of technical architecture and executive stakeholder management i.e., translating business strategy into data architecture and communicating trade-offs to leadership. Strong written and verbal communication skills, with experience producing architecture documentation, ER diagrams, and data dictionaries for both technical and business audiences. Preferred Qualifications Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance obligations. Experience leading or mentoring a team of data modelers/architects. Previous experience working with PostGres and MongoDB and big plus. Familiarity with complementary data modeling tools such as ER/Studio, Power Designer, Collibra, Alation Exposure to hybrid on-prem/cloud data strategies, even where the primary platform remains Oracle on-premise. Experience with Target Operating Model (TOM) design for data functions. Relevant certifications (OCI, DAMA, CDMP, etc.) is a plus. Experience with Hadoop/MongoDB is a plus Working experience with Denodo is a plus Team Culture: Our team is fast paced, fun, highly energetic, motivated and hardworking. We expect our candidates to be integrated into our results-driven and solution-oriented culture from the get-go. Our team attains high-quality results on challenging projects; the belief that outcomes are linked to one's effort rather than chance and the tendency to personally set challenging yet realistic goals. Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year-in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF & Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran
11/09/2026
Full time
Genesis10 is seeking a Data Architect for our client in the utilities industry. This long term contract position is located in Dallas, TX 77202. Hybrid schedule 2-3 days onsite. W2 Hourly Pay rate range: ($85-100/hr Depending on experience) Description: We are seeking a Data Architect to own the strategic design and governance of our enterprise data landscape, built on Oracle on-premise database platforms and modeled using Erwin. This role sits above individual project data models: you will define the enterprise-wide data architecture, standards, and target operating model that all data modelers, engineers, and DBAs build against, while personally handling the highest-complexity, highest-volume modeling and architecture decisions across the organization. You will bring proven experience architecting for large-scale data volumes (multi-GB to multi-TB), regulated environments, and the performance, scalability, and integrity demands that come with them. You will also be responsible for assisting in development and management of Data Governance and Master Data Management solutions. You must be comfortable presenting deep technical concepts to non-technical leadership i.e., have good technical and communication skills coupled with the ability to provide technical mentorship. Key Responsibilities Data Architecture & Data Strategy Define and own the enterprise data architecture strategy, including target-state data models, subject area models, and reference architectures across the Oracle on-premise estate. Establish enterprise-wide data modeling standards, naming conventions, and governance policies within Erwin, and ensure consistent adoption across data modeling and engineering teams. Own the enterprise Erwin model repository/mart: subject area organization, model versioning, complex merges, and cross-model consistency at scale. Partner with stakeholders (Application Teams, Enterprise Architecture, business unit leaders) to translate business strategy into a coherent, long-term data architecture roadmap. Evaluate and architect for scalability, performance, and maintainability of Oracle databases handling large data volumes (GB to multi-TB scale), including partitioning, indexing, and storage strategy at the architectural level. Assist in promoting the Data Architecture function to increase the adoption of Data Virtualization (Denodo) across the enterprise. Data Modeling & Design Oversight Design and review conceptual, logical, and physical data models for the most complex, cross-functional, and high-volume domains in the enterprise. Provide architectural review and approval of data models produced by senior/staff data modelers, ensuring alignment with enterprise standards, referential integrity, and downstream performance implications. Lead reverse-engineering and rationalization efforts for large, legacy Oracle schemas, consolidating and simplifying where architecturally sound. Guide both OLTP/3NF and dimensional (star/snowflake) modeling approaches, selecting the right pattern for transactional, operational, and analytical workloads. Governance, Performance & Risk Assist in enriching the enterprise data governance artifacts tied to the architecture: business glossary, data lineage, metadata repository, and data dictionary standards. Lead capacity planning and performance architecture for large Oracle databases anticipating growth in data volume and ensuring the model and physical design scale accordingly. Assess and mitigate architectural risk in schema changes at enterprise scale, including impact analysis across integrated systems. Ensure data architecture practices meet regulatory, security, and compliance requirements applicable to the industry. Establish policies, procedures and guidelines regarding all aspects of Data Governance Master Data Management Assist in establishment of policies, procedures and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented and best practices are adhered to. Developing a strategic roadmap for MDM, and assisting in developing a roadmap and its implementation Leadership & Collaboration Mentor and provide technical direction to data modelers, ETL developers, and DBAs on modeling best practices, Erwin usage, and Oracle architecture patterns. Act as the primary architectural liaison between business stakeholders, application teams, DBAs, and infrastructure teams. Present architecture decisions, trade-offs, and roadmaps to senior leadership and non-technical stakeholders. Provide mentorship to Data Analysts to ensure data management and design best practices are adhered to. Collaborate with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movement and data transformation. Required Qualifications 10+ years of experience in data architecture, data modeling, or database engineering, including prior experience as a senior/lead data modeler, solution architect or data architect. Deep, hands-on expertise with Erwin Data Modeler at an enterprise scale (model mart, subject areas, complex compare/merge, versioning across large teams). Strong expertise in Oracle Database (on-premise), including advanced SQL/PL-SQL, schema design, partitioning, indexing strategy, and performance tuning at the architectural level. Demonstrated experience architecting and modeling for large data volumes (GB to multi-TB scale) with a track record of designs that scaled successfully in production. Strong command of data modeling theory (normalization/denormalization, cardinality, keys, referential integrity) and dimensional modeling (star/snowflake) for analytics. Experience defining enterprise data standards, governance frameworks, and metadata/lineage practices. Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking Proven ability to operate at the intersection of technical architecture and executive stakeholder management i.e., translating business strategy into data architecture and communicating trade-offs to leadership. Strong written and verbal communication skills, with experience producing architecture documentation, ER diagrams, and data dictionaries for both technical and business audiences. Preferred Qualifications Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance obligations. Experience leading or mentoring a team of data modelers/architects. Previous experience working with PostGres and MongoDB and big plus. Familiarity with complementary data modeling tools such as ER/Studio, Power Designer, Collibra, Alation Exposure to hybrid on-prem/cloud data strategies, even where the primary platform remains Oracle on-premise. Experience with Target Operating Model (TOM) design for data functions. Relevant certifications (OCI, DAMA, CDMP, etc.) is a plus. Experience with Hadoop/MongoDB is a plus Working experience with Denodo is a plus Team Culture: Our team is fast paced, fun, highly energetic, motivated and hardworking. We expect our candidates to be integrated into our results-driven and solution-oriented culture from the get-go. Our team attains high-quality results on challenging projects; the belief that outcomes are linked to one's effort rather than chance and the tendency to personally set challenging yet realistic goals. Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year-in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF & Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran
Credit Acceptance Corporation
San Francisco, California
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details
11/09/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/09/2026
Full time
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Information Technology, you will lead the Database Security team within USAA's Technology Infrastructure and Operations department. The role will be responsible for the full lifecycle of database account management including provisioning, rotation, and retirement while maintaining compliance with security and data governance in the highly regulated financial services industry. You will direct, plan, and organize activities of professional and administrative staff engaged in providing information technology services. Provide for technical leadership in the plan, design, development, testing, implementation, or maintenance of business solutions. Provide high level consultation and influence on technical solutions, including emerging technologies. Lead and direct change management, process improvement, or technical support initiatives cross-departmentally and within assigned unit. Contribute to and execute long- and short-term strategic direction. Advise senior management and provide input to aide in decision making. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX or Plano, TX. Relocation assistance is not available for this position. What you'll do: Responsible for developing, maintaining, testing, and monitoring an internal control environment, including preventative and detective controls, to effectively manage risks. Builds and oversees a team of employees for assigned technology support area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Oversees efforts in establishing documentation standards and quality assurance methodologies for technology support functions and ensure adherence to standards across teams. Accountable for the identification, research, and analysis of end to end business, processes, and technology support opportunities. Develops and oversees metrics for technology support capabilities and/or processes (KPIs, KRIs, etc.). Creates a multi-year plan to operationalize a technology support strategy, with key milestones, deliverables, and realization targets. Oversees the creation and execution of departmental budgets and forecasts for applicable technology support function. Oversees the availability management of technology solutions / domains by applying strong change and incident management practices. Works across multiple functional areas and influences future business strategy to be able to best utilize available technology support functions as well as future ones. Stays abreast of industry trends and understands the direction of applicable technology support capabilities and ensures technology environment is agile enough to change quickly to support. Builds successful stakeholder relationships with other IT and business leaders by developing a clear understanding of business needs, acting as a trusted advisor, and ensuring cost-effective delivery of technology support services to meet those needs. Participates in the development of 3rd Party vendors strategy and provides oversight to ensure achievement of technology support objectives. May provide oversight of vendor management activities including service agreements, staff augmentation and technology contracts. Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years of experience in a technology function in a Software Development/Engineering or Infrastructure environment. 3 years of direct team lead or management experience of IT professionals. Experience overseeing the technology life cycle from requirements analysis, feasibility estimates, design, code, documentation, testing, implementation, and support. Technical knowledge and understanding of technical domains that reside within Infrastructure Services, Data or Application Development. Experience conducting cost benefit analyses and leveraging results to drive technology support solutions. Demonstrated thought leadership in embedding intuitive story telling of technology support functions including concise presentation of complex technical details. Previous experience managing multiple tasks and responsibilities in high-pressure environments; excelling at pinpointing and resolving problems in early stages to avoid cost/time expenses. Experience and ability to drive a culture of quality and personal accountability through technology support teams. Demonstrated experience in vendor contract management and management of distributed development teams and resources. Demonstrated financial acumen involving budgets, forecasting, and executing on the budgets for applicable technology support function. Advanced facilitation, collaboration and consensus building skills, with experience in presenting to cross-functional teams and Senior/Executive leaders. Experience in inspiring, leading, and defining vision, strategy and organizational change. Demonstrated experience in explaining complex technology decisions to both technical and nontechnical audiences at all levels in the organization. Demonstrated ability to influence change at the executive level and team level. Understanding of relevant industry frameworks, i.e. COBIT, ITIL, SAFe, etc. Understanding of Legislative and Regulatory Compliance Requirements. What sets you apart: Experience leading technical teams in the technology infrastructure and/or information security environment. Experience supporting multiple database technologies such as Oracle, IBM Distributed DB2, SQL Server, Yugabyte, Snowflake, Cassandra, and AWS Cloud Native Databases. Deep understanding of database security processes and technologies. Experience in automating technology infrastructure operations. Experience operating IT infrastructure in a highly regulated industry such as financial services. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex . click apply for full job details
11/09/2026
Full time
Job Description Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Information Technology, you will lead the Database Security team within USAA's Technology Infrastructure and Operations department. The role will be responsible for the full lifecycle of database account management including provisioning, rotation, and retirement while maintaining compliance with security and data governance in the highly regulated financial services industry. You will direct, plan, and organize activities of professional and administrative staff engaged in providing information technology services. Provide for technical leadership in the plan, design, development, testing, implementation, or maintenance of business solutions. Provide high level consultation and influence on technical solutions, including emerging technologies. Lead and direct change management, process improvement, or technical support initiatives cross-departmentally and within assigned unit. Contribute to and execute long- and short-term strategic direction. Advise senior management and provide input to aide in decision making. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX or Plano, TX. Relocation assistance is not available for this position. What you'll do: Responsible for developing, maintaining, testing, and monitoring an internal control environment, including preventative and detective controls, to effectively manage risks. Builds and oversees a team of employees for assigned technology support area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Oversees efforts in establishing documentation standards and quality assurance methodologies for technology support functions and ensure adherence to standards across teams. Accountable for the identification, research, and analysis of end to end business, processes, and technology support opportunities. Develops and oversees metrics for technology support capabilities and/or processes (KPIs, KRIs, etc.). Creates a multi-year plan to operationalize a technology support strategy, with key milestones, deliverables, and realization targets. Oversees the creation and execution of departmental budgets and forecasts for applicable technology support function. Oversees the availability management of technology solutions / domains by applying strong change and incident management practices. Works across multiple functional areas and influences future business strategy to be able to best utilize available technology support functions as well as future ones. Stays abreast of industry trends and understands the direction of applicable technology support capabilities and ensures technology environment is agile enough to change quickly to support. Builds successful stakeholder relationships with other IT and business leaders by developing a clear understanding of business needs, acting as a trusted advisor, and ensuring cost-effective delivery of technology support services to meet those needs. Participates in the development of 3rd Party vendors strategy and provides oversight to ensure achievement of technology support objectives. May provide oversight of vendor management activities including service agreements, staff augmentation and technology contracts. Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years of experience in a technology function in a Software Development/Engineering or Infrastructure environment. 3 years of direct team lead or management experience of IT professionals. Experience overseeing the technology life cycle from requirements analysis, feasibility estimates, design, code, documentation, testing, implementation, and support. Technical knowledge and understanding of technical domains that reside within Infrastructure Services, Data or Application Development. Experience conducting cost benefit analyses and leveraging results to drive technology support solutions. Demonstrated thought leadership in embedding intuitive story telling of technology support functions including concise presentation of complex technical details. Previous experience managing multiple tasks and responsibilities in high-pressure environments; excelling at pinpointing and resolving problems in early stages to avoid cost/time expenses. Experience and ability to drive a culture of quality and personal accountability through technology support teams. Demonstrated experience in vendor contract management and management of distributed development teams and resources. Demonstrated financial acumen involving budgets, forecasting, and executing on the budgets for applicable technology support function. Advanced facilitation, collaboration and consensus building skills, with experience in presenting to cross-functional teams and Senior/Executive leaders. Experience in inspiring, leading, and defining vision, strategy and organizational change. Demonstrated experience in explaining complex technology decisions to both technical and nontechnical audiences at all levels in the organization. Demonstrated ability to influence change at the executive level and team level. Understanding of relevant industry frameworks, i.e. COBIT, ITIL, SAFe, etc. Understanding of Legislative and Regulatory Compliance Requirements. What sets you apart: Experience leading technical teams in the technology infrastructure and/or information security environment. Experience supporting multiple database technologies such as Oracle, IBM Distributed DB2, SQL Server, Yugabyte, Snowflake, Cassandra, and AWS Cloud Native Databases. Deep understanding of database security processes and technologies. Experience in automating technology infrastructure operations. Experience operating IT infrastructure in a highly regulated industry such as financial services. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex . click apply for full job details
Job Description Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Information Technology, you will lead the Database Security team within USAA's Technology Infrastructure and Operations department. The role will be responsible for the full lifecycle of database account management including provisioning, rotation, and retirement while maintaining compliance with security and data governance in the highly regulated financial services industry. You will direct, plan, and organize activities of professional and administrative staff engaged in providing information technology services. Provide for technical leadership in the plan, design, development, testing, implementation, or maintenance of business solutions. Provide high level consultation and influence on technical solutions, including emerging technologies. Lead and direct change management, process improvement, or technical support initiatives cross-departmentally and within assigned unit. Contribute to and execute long- and short-term strategic direction. Advise senior management and provide input to aide in decision making. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX or Plano, TX. Relocation assistance is not available for this position. What you'll do: Responsible for developing, maintaining, testing, and monitoring an internal control environment, including preventative and detective controls, to effectively manage risks. Builds and oversees a team of employees for assigned technology support area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Oversees efforts in establishing documentation standards and quality assurance methodologies for technology support functions and ensure adherence to standards across teams. Accountable for the identification, research, and analysis of end to end business, processes, and technology support opportunities. Develops and oversees metrics for technology support capabilities and/or processes (KPIs, KRIs, etc.). Creates a multi-year plan to operationalize a technology support strategy, with key milestones, deliverables, and realization targets. Oversees the creation and execution of departmental budgets and forecasts for applicable technology support function. Oversees the availability management of technology solutions / domains by applying strong change and incident management practices. Works across multiple functional areas and influences future business strategy to be able to best utilize available technology support functions as well as future ones. Stays abreast of industry trends and understands the direction of applicable technology support capabilities and ensures technology environment is agile enough to change quickly to support. Builds successful stakeholder relationships with other IT and business leaders by developing a clear understanding of business needs, acting as a trusted advisor, and ensuring cost-effective delivery of technology support services to meet those needs. Participates in the development of 3rd Party vendors strategy and provides oversight to ensure achievement of technology support objectives. May provide oversight of vendor management activities including service agreements, staff augmentation and technology contracts. Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years of experience in a technology function in a Software Development/Engineering or Infrastructure environment. 3 years of direct team lead or management experience of IT professionals. Experience overseeing the technology life cycle from requirements analysis, feasibility estimates, design, code, documentation, testing, implementation, and support. Technical knowledge and understanding of technical domains that reside within Infrastructure Services, Data or Application Development. Experience conducting cost benefit analyses and leveraging results to drive technology support solutions. Demonstrated thought leadership in embedding intuitive story telling of technology support functions including concise presentation of complex technical details. Previous experience managing multiple tasks and responsibilities in high-pressure environments; excelling at pinpointing and resolving problems in early stages to avoid cost/time expenses. Experience and ability to drive a culture of quality and personal accountability through technology support teams. Demonstrated experience in vendor contract management and management of distributed development teams and resources. Demonstrated financial acumen involving budgets, forecasting, and executing on the budgets for applicable technology support function. Advanced facilitation, collaboration and consensus building skills, with experience in presenting to cross-functional teams and Senior/Executive leaders. Experience in inspiring, leading, and defining vision, strategy and organizational change. Demonstrated experience in explaining complex technology decisions to both technical and nontechnical audiences at all levels in the organization. Demonstrated ability to influence change at the executive level and team level. Understanding of relevant industry frameworks, i.e. COBIT, ITIL, SAFe, etc. Understanding of Legislative and Regulatory Compliance Requirements. What sets you apart: Experience leading technical teams in the technology infrastructure and/or information security environment. Experience supporting multiple database technologies such as Oracle, IBM Distributed DB2, SQL Server, Yugabyte, Snowflake, Cassandra, and AWS Cloud Native Databases. Deep understanding of database security processes and technologies. Experience in automating technology infrastructure operations. Experience operating IT infrastructure in a highly regulated industry such as financial services. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex . click apply for full job details
11/09/2026
Full time
Job Description Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Information Technology, you will lead the Database Security team within USAA's Technology Infrastructure and Operations department. The role will be responsible for the full lifecycle of database account management including provisioning, rotation, and retirement while maintaining compliance with security and data governance in the highly regulated financial services industry. You will direct, plan, and organize activities of professional and administrative staff engaged in providing information technology services. Provide for technical leadership in the plan, design, development, testing, implementation, or maintenance of business solutions. Provide high level consultation and influence on technical solutions, including emerging technologies. Lead and direct change management, process improvement, or technical support initiatives cross-departmentally and within assigned unit. Contribute to and execute long- and short-term strategic direction. Advise senior management and provide input to aide in decision making. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX or Plano, TX. Relocation assistance is not available for this position. What you'll do: Responsible for developing, maintaining, testing, and monitoring an internal control environment, including preventative and detective controls, to effectively manage risks. Builds and oversees a team of employees for assigned technology support area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Oversees efforts in establishing documentation standards and quality assurance methodologies for technology support functions and ensure adherence to standards across teams. Accountable for the identification, research, and analysis of end to end business, processes, and technology support opportunities. Develops and oversees metrics for technology support capabilities and/or processes (KPIs, KRIs, etc.). Creates a multi-year plan to operationalize a technology support strategy, with key milestones, deliverables, and realization targets. Oversees the creation and execution of departmental budgets and forecasts for applicable technology support function. Oversees the availability management of technology solutions / domains by applying strong change and incident management practices. Works across multiple functional areas and influences future business strategy to be able to best utilize available technology support functions as well as future ones. Stays abreast of industry trends and understands the direction of applicable technology support capabilities and ensures technology environment is agile enough to change quickly to support. Builds successful stakeholder relationships with other IT and business leaders by developing a clear understanding of business needs, acting as a trusted advisor, and ensuring cost-effective delivery of technology support services to meet those needs. Participates in the development of 3rd Party vendors strategy and provides oversight to ensure achievement of technology support objectives. May provide oversight of vendor management activities including service agreements, staff augmentation and technology contracts. Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years of experience in a technology function in a Software Development/Engineering or Infrastructure environment. 3 years of direct team lead or management experience of IT professionals. Experience overseeing the technology life cycle from requirements analysis, feasibility estimates, design, code, documentation, testing, implementation, and support. Technical knowledge and understanding of technical domains that reside within Infrastructure Services, Data or Application Development. Experience conducting cost benefit analyses and leveraging results to drive technology support solutions. Demonstrated thought leadership in embedding intuitive story telling of technology support functions including concise presentation of complex technical details. Previous experience managing multiple tasks and responsibilities in high-pressure environments; excelling at pinpointing and resolving problems in early stages to avoid cost/time expenses. Experience and ability to drive a culture of quality and personal accountability through technology support teams. Demonstrated experience in vendor contract management and management of distributed development teams and resources. Demonstrated financial acumen involving budgets, forecasting, and executing on the budgets for applicable technology support function. Advanced facilitation, collaboration and consensus building skills, with experience in presenting to cross-functional teams and Senior/Executive leaders. Experience in inspiring, leading, and defining vision, strategy and organizational change. Demonstrated experience in explaining complex technology decisions to both technical and nontechnical audiences at all levels in the organization. Demonstrated ability to influence change at the executive level and team level. Understanding of relevant industry frameworks, i.e. COBIT, ITIL, SAFe, etc. Understanding of Legislative and Regulatory Compliance Requirements. What sets you apart: Experience leading technical teams in the technology infrastructure and/or information security environment. Experience supporting multiple database technologies such as Oracle, IBM Distributed DB2, SQL Server, Yugabyte, Snowflake, Cassandra, and AWS Cloud Native Databases. Deep understanding of database security processes and technologies. Experience in automating technology infrastructure operations. Experience operating IT infrastructure in a highly regulated industry such as financial services. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex . click apply for full job details
Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA. We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization. This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities. The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments. Additional Key responsibilities - Define and maintain target-state architecture for domain analytical and operational data platforms. - Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures. - Define migration strategies for existing Hadoop-based analytical environments and data workloads. - Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability. - Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models. - Help develop architecture roadmaps that align business priorities, technology strategy, and data modernization initiatives. - Provide architectural leadership for strategic initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration. - Conduct architecture reviews and provide guidance to delivery teams throughout the solution lifecycle. - Collaborate with Enterprise Architecture to align data solutions with broader technology strategies. - Mentor engineers, solution architects, and development teams on data architecture best practices. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise. Works with IT and business customers to develop requirements for designing the overall data warehouse architecture. Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. . Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsBusiness Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, Structured Query Language (SQL) CompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $112,000.00 - $228,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
11/09/2026
Full time
Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA. We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization. This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities. The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments. Additional Key responsibilities - Define and maintain target-state architecture for domain analytical and operational data platforms. - Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures. - Define migration strategies for existing Hadoop-based analytical environments and data workloads. - Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability. - Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models. - Help develop architecture roadmaps that align business priorities, technology strategy, and data modernization initiatives. - Provide architectural leadership for strategic initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration. - Conduct architecture reviews and provide guidance to delivery teams throughout the solution lifecycle. - Collaborate with Enterprise Architecture to align data solutions with broader technology strategies. - Mentor engineers, solution architects, and development teams on data architecture best practices. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise. Works with IT and business customers to develop requirements for designing the overall data warehouse architecture. Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. . Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsBusiness Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, Structured Query Language (SQL) CompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $112,000.00 - $228,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Job Description AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Center Manager in Amazon, you will get to manage the world's largest Cloud Computing Infrastructure. We encounter interesting, challenging & complex problems every day, being a technical manager in Amazon means that you can innovate to solve these issues and help drive Operations Excellence in all areas of your role. You will be a proven manager with experience managing teams of high performers. You will have the ability to refine and develop processes to optimize operational excellence in every area of your role. You will be able to drive performance levels to achieve the pace we build and operate our Data Centers at. You will have previous experience in Data Centers, either building or managing (or both) along with exposure to developing great relationships with both internal teams and external vendors. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities - Managing and developing teams of engineers, providing both technical and leadership expertise and ensuring highest levels of performance. - Maintaining existing Data Centers - Helping build and bring online new Data Centers - Constantly improving all our processes and procedures. We believe there is nothing we cannot improve - Assisting & managing relationships with external vendors & contractors - Liaising with internal teams & management groups - Ensuring we adhere to and exceed local Health & Safety standards in all our Data Centers - Creating and maintaining metrics on all aspects of our Data Centers and utilizing those metrics to drive positive changes - Assisting in implementing service methodologies including incident management, problem management, change management, capacity management, etc. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience - 1+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience PREFERRED QUALIFICATIONS- 2+ years of data center experience - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Experience conducting interviews and making effective hiring decisions - project management certification such as PMP, Scrum, or other Agile certification - Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit -we- hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, TX, Wink - 107 500.00 USD annually
11/09/2026
Full time
Job Description AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Center Manager in Amazon, you will get to manage the world's largest Cloud Computing Infrastructure. We encounter interesting, challenging & complex problems every day, being a technical manager in Amazon means that you can innovate to solve these issues and help drive Operations Excellence in all areas of your role. You will be a proven manager with experience managing teams of high performers. You will have the ability to refine and develop processes to optimize operational excellence in every area of your role. You will be able to drive performance levels to achieve the pace we build and operate our Data Centers at. You will have previous experience in Data Centers, either building or managing (or both) along with exposure to developing great relationships with both internal teams and external vendors. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities - Managing and developing teams of engineers, providing both technical and leadership expertise and ensuring highest levels of performance. - Maintaining existing Data Centers - Helping build and bring online new Data Centers - Constantly improving all our processes and procedures. We believe there is nothing we cannot improve - Assisting & managing relationships with external vendors & contractors - Liaising with internal teams & management groups - Ensuring we adhere to and exceed local Health & Safety standards in all our Data Centers - Creating and maintaining metrics on all aspects of our Data Centers and utilizing those metrics to drive positive changes - Assisting in implementing service methodologies including incident management, problem management, change management, capacity management, etc. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience - 1+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience PREFERRED QUALIFICATIONS- 2+ years of data center experience - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Experience conducting interviews and making effective hiring decisions - project management certification such as PMP, Scrum, or other Agile certification - Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit -we- hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, TX, Wink - 107 500.00 USD annually
PNC Financial Services Group
Pittsburgh, Pennsylvania
Job Description Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA. We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization. This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities. The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments. Additional Key responsibilities - Define and maintain target-state architecture for domain analytical and operational data platforms. - Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures. - Define migration strategies for existing Hadoop-based analytical environments and data workloads. - Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability. - Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models. - Help develop architecture roadmaps that align business priorities, technology strategy, and data modernization initiatives. - Provide architectural leadership for strategic initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration. - Conduct architecture reviews and provide guidance to delivery teams throughout the solution lifecycle. - Collaborate with Enterprise Architecture to align data solutions with broader technology strategies. - Mentor engineers, solution architects, and development teams on data architecture best practices. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise. Works with IT and business customers to develop requirements for designing the overall data warehouse architecture. Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. . Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsBusiness Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, Structured Query Language (SQL) CompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $112,000.00 - $228,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
11/09/2026
Full time
Job Description Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA. We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization. This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities. The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments. Additional Key responsibilities - Define and maintain target-state architecture for domain analytical and operational data platforms. - Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures. - Define migration strategies for existing Hadoop-based analytical environments and data workloads. - Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability. - Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models. - Help develop architecture roadmaps that align business priorities, technology strategy, and data modernization initiatives. - Provide architectural leadership for strategic initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration. - Conduct architecture reviews and provide guidance to delivery teams throughout the solution lifecycle. - Collaborate with Enterprise Architecture to align data solutions with broader technology strategies. - Mentor engineers, solution architects, and development teams on data architecture best practices. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise. Works with IT and business customers to develop requirements for designing the overall data warehouse architecture. Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. . Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsBusiness Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, Structured Query Language (SQL) CompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $112,000.00 - $228,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Job Description Job Family: Software Development & Support Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is currently seeking a qualified OneStream Junior Developer to support Guidehouse's Defense & Security Segment. Responsibilities will include, but are not limited to: Develop OneStream applications that focus on financial close, financial reconciliation, and payroll management. Configure OneStream cubes, dimensions, workflows, business rules, and forms. Support migration activities related to legacy tool retirement, including data loads, data validation, reconciliation, and parallel comparisons between legacy systems and OneStream. Support the development, testing, and documentation of OneStream business rules and system enhancements. Collaborate with senior developers and business analysts to implement business and technical requirements for OneStream applications that are in alignment with audit readiness and financial management compliance standards. Participate in Agile ceremonies, coordinate personal product backlog with senior developers, and actively participate in iterative development cycles to deliver high-quality solutions. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. Bachelor's degree in engineering, computer science, finance, accounting, data analytics, information systems, or a related field. ONE (1) years of relevant OneStream development experience including configuring and supporting OneStream workflows, Cube Views, Business Rules, data integration, dashboards, and reporting solutions. What Would Be Nice To Have: OneStream certification (any level). Completion of OneStream training programs and demonstrated hands-on experience supporting OneStream applications. Knowledge of federal financial management processes, audit readiness requirements, and compliance standards. Experience with SQL Server. Exposure to API integrations and automation solutions and basic knowledge of ETL tools and data warehousing concepts. Experience with ERP systems such as SAP, Oracle, Workday, PeopleSoft, or Microsoft Dynamics. Exposure to or general understanding of Agile project delivery methodologies. Excellent communication and stakeholder engagement skills, including client-facing and technical writing. Ability to manage competing priorities and deliver under tight timelines with minimal supervision. Experience supporting parallel testing, UAT, and legacy financial data migration efforts. Understanding of financial reporting, budgeting, planning, and financial consolidation processes, and general knowledge of GL structures and financial data relationships. The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
11/09/2026
Full time
Job Description Job Family: Software Development & Support Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is currently seeking a qualified OneStream Junior Developer to support Guidehouse's Defense & Security Segment. Responsibilities will include, but are not limited to: Develop OneStream applications that focus on financial close, financial reconciliation, and payroll management. Configure OneStream cubes, dimensions, workflows, business rules, and forms. Support migration activities related to legacy tool retirement, including data loads, data validation, reconciliation, and parallel comparisons between legacy systems and OneStream. Support the development, testing, and documentation of OneStream business rules and system enhancements. Collaborate with senior developers and business analysts to implement business and technical requirements for OneStream applications that are in alignment with audit readiness and financial management compliance standards. Participate in Agile ceremonies, coordinate personal product backlog with senior developers, and actively participate in iterative development cycles to deliver high-quality solutions. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. Bachelor's degree in engineering, computer science, finance, accounting, data analytics, information systems, or a related field. ONE (1) years of relevant OneStream development experience including configuring and supporting OneStream workflows, Cube Views, Business Rules, data integration, dashboards, and reporting solutions. What Would Be Nice To Have: OneStream certification (any level). Completion of OneStream training programs and demonstrated hands-on experience supporting OneStream applications. Knowledge of federal financial management processes, audit readiness requirements, and compliance standards. Experience with SQL Server. Exposure to API integrations and automation solutions and basic knowledge of ETL tools and data warehousing concepts. Experience with ERP systems such as SAP, Oracle, Workday, PeopleSoft, or Microsoft Dynamics. Exposure to or general understanding of Agile project delivery methodologies. Excellent communication and stakeholder engagement skills, including client-facing and technical writing. Ability to manage competing priorities and deliver under tight timelines with minimal supervision. Experience supporting parallel testing, UAT, and legacy financial data migration efforts. Understanding of financial reporting, budgeting, planning, and financial consolidation processes, and general knowledge of GL structures and financial data relationships. The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description Job Description Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) AWS Certified Solutions Architect - Professional or Associate Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: Conduct regular security reviews of cloud infrastructure deployed by engineering teams Evaluate infrastructure-as-code against security standards Review and validate compliance with security policies and best practices Assess adherence to AWS Well-Architected Framework security pillar Identify and document security misconfigurations and non-compliant controls Develop and maintain security posture dashboards Create or update security configuration guides and playbooks Offer technical consultation to engineering teams on secure implementation Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. Develop and update AWS security configuration standards Conduct security training sessions for engineering teams Present findings and recommendations in team meetings Identify opportunities to automate security assessments Recommend security tooling improvements PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:
11/09/2026
Full time
Job Description Job Description Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) AWS Certified Solutions Architect - Professional or Associate Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: Conduct regular security reviews of cloud infrastructure deployed by engineering teams Evaluate infrastructure-as-code against security standards Review and validate compliance with security policies and best practices Assess adherence to AWS Well-Architected Framework security pillar Identify and document security misconfigurations and non-compliant controls Develop and maintain security posture dashboards Create or update security configuration guides and playbooks Offer technical consultation to engineering teams on secure implementation Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. Develop and update AWS security configuration standards Conduct security training sessions for engineering teams Present findings and recommendations in team meetings Identify opportunities to automate security assessments Recommend security tooling improvements PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:
Job Description About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together. The Role: Citi's Technology Infrastructure team is seeking a Senior Application Security Engineer (Java) to own the end-to-end engineering lifecycle, maintenance, evaluation, and rollout of critical authentication and information security platforms. This role bridges Java development, infrastructure automation via Shell scripting and SQL, and deep domain expertise in multifactor authentication mechanisms such as MFA/2FA, OTP, Challenge/Response, and RADIUS. The engineer will certify new SafeWord product releases, stage security patches, and test MFA/RADIUS integrations as part of day-to-day work. They will collaborate closely with operational and engineering teams to certify new releases, troubleshoot complex production issues, and maintain high availability, resilience, and security across enterprise authentication services. The role also supports the team's ongoing initiatives to upgrade legacy authentication components, integrate modern multi-factor mechanisms, and migrate authentication services from VMs toward containerized, cloud-based OpenShift platforms. Responsibilities Maintain, enhance, and debug Java-based applications and microservices supporting authentication flows and security controls. Evaluate new software versions, third-party libraries, and security updates for compatibility, performance, and risk impact. Implement and configure authentication frameworks and protocols including 2FA/MFA, OTP, Challenge/Response, and RADIUS. Certify new versions of the SafeWord authentication product prior to production rollout. Stage and validate security patches across authentication infrastructure. Test MFA and RADIUS integrations to confirm functionality and compatibility across enterprise applications. Build and maintain automation scripts in Shell (Bash) to streamline operational tasks and deployments. Write and optimize database scripts and procedures using SQL and PL-SQL. Partner with operational teams to test, validate, and certify new software releases before deployment. Support the migration of authentication services from virtual machines toward containerized platforms on cloud ECS OpenShift. Support the integration of modern multi-factor authentication mechanisms across enterprise applications as part of the team's legacy upgrade initiatives. Develop and maintain Standard Operating Procedures (SOPs) for authentication platform operations. Qualifications 4+ years' progressive experience in software engineering, application security, and/or infrastructure engineering with a strong focus on authentication systems within that experience. Strong hands-on experience in Java programming, debugging, and maintaining enterprise Java applications. Solid understanding of authentication mechanisms including Two-Factor/Multi-Factor Authentication (2FA/MFA), One-Time Passwords (OTP), and Challenge/Response architectures. Practical knowledge of network authentication protocols including RADIUS, LDAP/Active Directory, Kerberos, SAML, and PAM. Advanced proficiency in Linux/Unix operating systems, including system administration, process management, file permissions, and performance tuning. Strong Shell scripting skills in Bash and KornShell for task automation and system orchestration. Proficiency in writing SQL and PL-SQL queries and scripts. Strong fundamentals in TCP/IP, DNS, SSL/TLS certificates, load balancing, and firewall rule configurations. Hands-on experience with Splunk, including search syntax, alerts, and dashboards. Hands-on experience with AppDynamics, including APM and transaction tracing. Working knowledge of cloud concepts, including AWS, GCP, or enterprise private clouds. Proven ability to collaborate cross-functionally with operations, security operations, and engineering teams. Clear written and verbal communication skills for technical documentation and incident retrospectives. Strong attention to security best practices, access governance, and audit readiness. Familiarity with containerization and orchestration technologies such as Docker, OpenShift, or Kubernetes is preferred. Experience within Financial Services, Banking, or other highly regulated enterprise environments is preferred. Education Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Software Engineering, or a related technical field. Industry certifications in Information Security or Networking are preferred, such as CompTIA Security+, Network+, CEH, or CCNA. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family:Systems & Engineering Time Type:Full time Primary Location:Irving Texas United States Primary Location Full Time Salary Range:$125,760.00 - $188,640.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Anticipated Posting Close Date:Oct 28, 2026 Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
11/09/2026
Full time
Job Description About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together. The Role: Citi's Technology Infrastructure team is seeking a Senior Application Security Engineer (Java) to own the end-to-end engineering lifecycle, maintenance, evaluation, and rollout of critical authentication and information security platforms. This role bridges Java development, infrastructure automation via Shell scripting and SQL, and deep domain expertise in multifactor authentication mechanisms such as MFA/2FA, OTP, Challenge/Response, and RADIUS. The engineer will certify new SafeWord product releases, stage security patches, and test MFA/RADIUS integrations as part of day-to-day work. They will collaborate closely with operational and engineering teams to certify new releases, troubleshoot complex production issues, and maintain high availability, resilience, and security across enterprise authentication services. The role also supports the team's ongoing initiatives to upgrade legacy authentication components, integrate modern multi-factor mechanisms, and migrate authentication services from VMs toward containerized, cloud-based OpenShift platforms. Responsibilities Maintain, enhance, and debug Java-based applications and microservices supporting authentication flows and security controls. Evaluate new software versions, third-party libraries, and security updates for compatibility, performance, and risk impact. Implement and configure authentication frameworks and protocols including 2FA/MFA, OTP, Challenge/Response, and RADIUS. Certify new versions of the SafeWord authentication product prior to production rollout. Stage and validate security patches across authentication infrastructure. Test MFA and RADIUS integrations to confirm functionality and compatibility across enterprise applications. Build and maintain automation scripts in Shell (Bash) to streamline operational tasks and deployments. Write and optimize database scripts and procedures using SQL and PL-SQL. Partner with operational teams to test, validate, and certify new software releases before deployment. Support the migration of authentication services from virtual machines toward containerized platforms on cloud ECS OpenShift. Support the integration of modern multi-factor authentication mechanisms across enterprise applications as part of the team's legacy upgrade initiatives. Develop and maintain Standard Operating Procedures (SOPs) for authentication platform operations. Qualifications 4+ years' progressive experience in software engineering, application security, and/or infrastructure engineering with a strong focus on authentication systems within that experience. Strong hands-on experience in Java programming, debugging, and maintaining enterprise Java applications. Solid understanding of authentication mechanisms including Two-Factor/Multi-Factor Authentication (2FA/MFA), One-Time Passwords (OTP), and Challenge/Response architectures. Practical knowledge of network authentication protocols including RADIUS, LDAP/Active Directory, Kerberos, SAML, and PAM. Advanced proficiency in Linux/Unix operating systems, including system administration, process management, file permissions, and performance tuning. Strong Shell scripting skills in Bash and KornShell for task automation and system orchestration. Proficiency in writing SQL and PL-SQL queries and scripts. Strong fundamentals in TCP/IP, DNS, SSL/TLS certificates, load balancing, and firewall rule configurations. Hands-on experience with Splunk, including search syntax, alerts, and dashboards. Hands-on experience with AppDynamics, including APM and transaction tracing. Working knowledge of cloud concepts, including AWS, GCP, or enterprise private clouds. Proven ability to collaborate cross-functionally with operations, security operations, and engineering teams. Clear written and verbal communication skills for technical documentation and incident retrospectives. Strong attention to security best practices, access governance, and audit readiness. Familiarity with containerization and orchestration technologies such as Docker, OpenShift, or Kubernetes is preferred. Experience within Financial Services, Banking, or other highly regulated enterprise environments is preferred. Education Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Software Engineering, or a related technical field. Industry certifications in Information Security or Networking are preferred, such as CompTIA Security+, Network+, CEH, or CCNA. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family:Systems & Engineering Time Type:Full time Primary Location:Irving Texas United States Primary Location Full Time Salary Range:$125,760.00 - $188,640.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Anticipated Posting Close Date:Oct 28, 2026 Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/09/2026
Full time
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Principal Enterprise Architect Job Category: Software Development / Engineering Job Type: Permanent Full-Time Openings: 1 Locations: Lafayette, LA Knoxville, TN Columbia, SC Birmingham, AL Position Description We are seeking a Principal Enterprise Architect to support enterprise-wide Application Portfolio Management (APM), Technology Portfolio Management (TPM), and modernization initiatives within a large financial services environment. This role will help mature how application and technology portfolios are assessed, governed, rationalized, and modernized. The Principal Enterprise Architect will establish portfolio frameworks, improve traceability across business capabilities and technology assets, and transform architecture information into structured data that supports informed investment and modernization decisions. The role will work closely with Enterprise Architecture, Business Architecture, Product, Engineering, and Portfolio Management teams and utilize enterprise architecture platforms such as ARIS, Alfabet, or comparable tools . Experience supporting modernization initiatives within AWS-heavy cloud environments is highly valuable. Required Qualifications 10+ years of Enterprise Architecture experience within large, complex enterprise environments. Strong hands-on experience with Application Portfolio Management (APM) and Technology Portfolio Management (TPM) . Experience evaluating application and technology portfolios for: Modernization Rationalization Lifecycle management Technical health Strong understanding of enterprise architecture modeling, metamodels, architecture repositories, and Architecture-as-Data practices . Hands-on experience with ARIS, Alfabet, or comparable Enterprise Architecture Management platforms . Ability to establish and maintain relationships across: Business capabilities Value streams Applications Technologies Supporting processes Experience developing: Portfolio assessment criteria Modernization scorecards Architecture metrics Guardrails Governance standards Strong understanding of cloud modernization , preferably within AWS-heavy enterprise environments . Experience translating architecture and portfolio data into actionable recommendations for technology and business stakeholders. Strong communication and stakeholder management skills. Ability to influence senior leaders and cross-functional teams . Financial services or other highly regulated industry experience is strongly preferred. Education Bachelor's degree in Computer Science, Information Systems, or a related field. Compensation & Benefits A reasonable estimate of the current compensation range for this role in the U.S. is $129,100 - $226,200 , depending on skills, experience, training, certifications, and other relevant factors. Eligible employees may receive benefits including: Competitive compensation Comprehensive insurance options 401(k) matching contributions Employee share purchase plan Paid vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and well-being programs Ref: Pittsburgh
11/09/2026
Full time
Job Description Job Description Principal Enterprise Architect Job Category: Software Development / Engineering Job Type: Permanent Full-Time Openings: 1 Locations: Lafayette, LA Knoxville, TN Columbia, SC Birmingham, AL Position Description We are seeking a Principal Enterprise Architect to support enterprise-wide Application Portfolio Management (APM), Technology Portfolio Management (TPM), and modernization initiatives within a large financial services environment. This role will help mature how application and technology portfolios are assessed, governed, rationalized, and modernized. The Principal Enterprise Architect will establish portfolio frameworks, improve traceability across business capabilities and technology assets, and transform architecture information into structured data that supports informed investment and modernization decisions. The role will work closely with Enterprise Architecture, Business Architecture, Product, Engineering, and Portfolio Management teams and utilize enterprise architecture platforms such as ARIS, Alfabet, or comparable tools . Experience supporting modernization initiatives within AWS-heavy cloud environments is highly valuable. Required Qualifications 10+ years of Enterprise Architecture experience within large, complex enterprise environments. Strong hands-on experience with Application Portfolio Management (APM) and Technology Portfolio Management (TPM) . Experience evaluating application and technology portfolios for: Modernization Rationalization Lifecycle management Technical health Strong understanding of enterprise architecture modeling, metamodels, architecture repositories, and Architecture-as-Data practices . Hands-on experience with ARIS, Alfabet, or comparable Enterprise Architecture Management platforms . Ability to establish and maintain relationships across: Business capabilities Value streams Applications Technologies Supporting processes Experience developing: Portfolio assessment criteria Modernization scorecards Architecture metrics Guardrails Governance standards Strong understanding of cloud modernization , preferably within AWS-heavy enterprise environments . Experience translating architecture and portfolio data into actionable recommendations for technology and business stakeholders. Strong communication and stakeholder management skills. Ability to influence senior leaders and cross-functional teams . Financial services or other highly regulated industry experience is strongly preferred. Education Bachelor's degree in Computer Science, Information Systems, or a related field. Compensation & Benefits A reasonable estimate of the current compensation range for this role in the U.S. is $129,100 - $226,200 , depending on skills, experience, training, certifications, and other relevant factors. Eligible employees may receive benefits including: Competitive compensation Comprehensive insurance options 401(k) matching contributions Employee share purchase plan Paid vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and well-being programs Ref: Pittsburgh
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 09 The Impact: At S&P Global, our values - Discovery, Integrity, and Partnership - shape how we work, how we collaborate, and how we earn trust with our customers and each other. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance what has always defined us: the intelligence of our people, deep relationships, and trusted insights. By leveraging technology with human expertise, we help our teams navigate complexity and deliver actionable, decisionready intelligence without compromising quality, accountability, or integrity. What You Stand to Gain & Program Overview: S&P Global Ratings is one of the world's leading providers of independent credit risk research and benchmarks. CREDit Program Analysts are part of a team that produces high-quality fundamental research and ratings based on established criteria and are positioned at the center of how investment decisions are made globally. You will engage with senior market participants and the global investor community across one of the largest providers of credit ratings in the world. The CREDit Graduate Program is a two-year training and development opportunity, with our next intake joining in September 2027. CREDit Program Analysts work across various practices and teams to meet the evolving demands of the global market, building a versatile skill set while contributing to our most impactful business areas. Our analytical practice groups include Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. All analysts combine practical work experience with the completion of a relevant professional qualification - such as an MBA or CFA. Responsibilities: Team Contribution & Capability Building Build capability in credit, financial data, and analytical tooling by applying feedback quickly and adopting standard ways of working that reinforce consistent, decision-ready outputs. Contribute to AI-enabled team productivity by sharing reusable prompts, templates, checklists, and lightweight automation that augments team judgment, not replaces it, reducing rework and improving turnaround time. Support colleagues proactively with strong attention to detail, and contribute creative, resourceful ideas in collaborative team discussions. Champion continuous improvement by questioning existing processes, exploring new tools, and applying fresh perspectives to data and problem-solving. Core Analytical & Delivery Partner with analysts and managers to deliver reliable execution, including clear status updates, early escalation of risks, and consistent follow-through to protect quality and trust. Build and maintain high-quality research and data packs using standard templates, applying automation where appropriate to improve consistency while retaining human review of key outputs. Use approved large language model tools as an enabler to accelerate research, summarization, and initial drafting - followed by human validation, correction, and explicit evidence capture. Collect, clean, reconcile, and validate data; proactively identify inconsistencies, assess assumptions, and flag risks early. Support financial model maintenance and contribute to recurring analyst monitoring workflows and process improvement initiatives. Stakeholder & Market Engagement Monitor issuer, sector, and market developments and produce concise, clearly sourced summaries that help analysts move faster and inform decision-making. Translate data, analysis, and research into clear, actionable narratives for client and market engagement. Develop a client-oriented, solutions-focused mindset by observing and learning from service excellence in practice. Risk Management and Operating Apply confidentiality, documentation, and governance requirements consistently across all analytical and operational activities. Support supervised piloting and testing of new tools within defined guidelines. Compensation/Benefits Information: ( This section is only applicable to US candidates:) S&P Global states that the anticipated base salary range for this position is $75,000 USD to $90,000 USD. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. For more information on the benefits we provide to our employees, please click here. What We're Looking For: Education Current undergraduate or postgraduate student in the penultimate year of study only. We welcome candidates from traditional finance disciplines e.g. Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics. This is as well as diverse academic backgrounds that support innovative and critical thinking and storytelling e.g. Engineering and Sciences, Philosophy, Politics, Classics, Theology, English Language, English Literature and Languages. Team Contribution & Capability Building Collaborative and dependable working style, with the ability to manage priorities, communicate clearly, and deliver consistently in a team-oriented environment. A learning mindset, comfortable adopting new tools to enhance quality, with a genuine interest in automation and efficiency improvements that maintain clear controls and measurable outcomes. Core Analytical & Delivery Demonstrated ability or clear willingness to develop strength in research and data analysis, synthesizing information into clear, concise, decision-ready outputs. Strong spreadsheet skills with a willingness to develop proficiency in data and automation tools to improve reliability and consistency. Practical fluency with generative AI and large language model tools - or a strong willingness to develop this - paired with sound validation discipline and judgment on when AI should not be used to protect accuracy and confidentiality. Stakeholder & Market Engagement Effective written and verbal communication skills, with the ability to present research and analysis in a clear, structured format that supports informed decision-making. A solutions-oriented mindset focused on delivering excellent service to internal and external stakeholders. Risk Management and Operating High standards for accuracy, traceability, and quality, with a commitment to responsible technology use - including protecting confidential information and ensuring AI-generated outputs are verified and appropriately attributed. English: Required - Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally). Additional Information English: Required - Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally). Employees are required to work from the office a minimum of two days per week. Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history . click apply for full job details
11/09/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 09 The Impact: At S&P Global, our values - Discovery, Integrity, and Partnership - shape how we work, how we collaborate, and how we earn trust with our customers and each other. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance what has always defined us: the intelligence of our people, deep relationships, and trusted insights. By leveraging technology with human expertise, we help our teams navigate complexity and deliver actionable, decisionready intelligence without compromising quality, accountability, or integrity. What You Stand to Gain & Program Overview: S&P Global Ratings is one of the world's leading providers of independent credit risk research and benchmarks. CREDit Program Analysts are part of a team that produces high-quality fundamental research and ratings based on established criteria and are positioned at the center of how investment decisions are made globally. You will engage with senior market participants and the global investor community across one of the largest providers of credit ratings in the world. The CREDit Graduate Program is a two-year training and development opportunity, with our next intake joining in September 2027. CREDit Program Analysts work across various practices and teams to meet the evolving demands of the global market, building a versatile skill set while contributing to our most impactful business areas. Our analytical practice groups include Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. All analysts combine practical work experience with the completion of a relevant professional qualification - such as an MBA or CFA. Responsibilities: Team Contribution & Capability Building Build capability in credit, financial data, and analytical tooling by applying feedback quickly and adopting standard ways of working that reinforce consistent, decision-ready outputs. Contribute to AI-enabled team productivity by sharing reusable prompts, templates, checklists, and lightweight automation that augments team judgment, not replaces it, reducing rework and improving turnaround time. Support colleagues proactively with strong attention to detail, and contribute creative, resourceful ideas in collaborative team discussions. Champion continuous improvement by questioning existing processes, exploring new tools, and applying fresh perspectives to data and problem-solving. Core Analytical & Delivery Partner with analysts and managers to deliver reliable execution, including clear status updates, early escalation of risks, and consistent follow-through to protect quality and trust. Build and maintain high-quality research and data packs using standard templates, applying automation where appropriate to improve consistency while retaining human review of key outputs. Use approved large language model tools as an enabler to accelerate research, summarization, and initial drafting - followed by human validation, correction, and explicit evidence capture. Collect, clean, reconcile, and validate data; proactively identify inconsistencies, assess assumptions, and flag risks early. Support financial model maintenance and contribute to recurring analyst monitoring workflows and process improvement initiatives. Stakeholder & Market Engagement Monitor issuer, sector, and market developments and produce concise, clearly sourced summaries that help analysts move faster and inform decision-making. Translate data, analysis, and research into clear, actionable narratives for client and market engagement. Develop a client-oriented, solutions-focused mindset by observing and learning from service excellence in practice. Risk Management and Operating Apply confidentiality, documentation, and governance requirements consistently across all analytical and operational activities. Support supervised piloting and testing of new tools within defined guidelines. Compensation/Benefits Information: ( This section is only applicable to US candidates:) S&P Global states that the anticipated base salary range for this position is $75,000 USD to $90,000 USD. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. For more information on the benefits we provide to our employees, please click here. What We're Looking For: Education Current undergraduate or postgraduate student in the penultimate year of study only. We welcome candidates from traditional finance disciplines e.g. Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics. This is as well as diverse academic backgrounds that support innovative and critical thinking and storytelling e.g. Engineering and Sciences, Philosophy, Politics, Classics, Theology, English Language, English Literature and Languages. Team Contribution & Capability Building Collaborative and dependable working style, with the ability to manage priorities, communicate clearly, and deliver consistently in a team-oriented environment. A learning mindset, comfortable adopting new tools to enhance quality, with a genuine interest in automation and efficiency improvements that maintain clear controls and measurable outcomes. Core Analytical & Delivery Demonstrated ability or clear willingness to develop strength in research and data analysis, synthesizing information into clear, concise, decision-ready outputs. Strong spreadsheet skills with a willingness to develop proficiency in data and automation tools to improve reliability and consistency. Practical fluency with generative AI and large language model tools - or a strong willingness to develop this - paired with sound validation discipline and judgment on when AI should not be used to protect accuracy and confidentiality. Stakeholder & Market Engagement Effective written and verbal communication skills, with the ability to present research and analysis in a clear, structured format that supports informed decision-making. A solutions-oriented mindset focused on delivering excellent service to internal and external stakeholders. Risk Management and Operating High standards for accuracy, traceability, and quality, with a commitment to responsible technology use - including protecting confidential information and ensuring AI-generated outputs are verified and appropriately attributed. English: Required - Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally). Additional Information English: Required - Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally). Employees are required to work from the office a minimum of two days per week. Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history . click apply for full job details
This job is with Aristocrat, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job Serving as an experienced delivery leader on the Global Product Strategic Delivery Team, the Senior Program Manager is responsible for guiding complex, enterprise-scale initiatives across Aristocrat's global product portfolio. This professional role drives cross-functional execution across Product, Technology, Engineering, Operations, Commercial, Compliance, and leadership teams to ensure strategic priorities are translated into clear plans, disciplined governance, measurable outcomes, and sustained business value. As a trusted partner to senior leaders, this role provides structure in ambiguity, influences alignment across matrixed teams, and drives accountability for delivery commitments, risks, dependencies, decisions, and outcomes. The Senior Program Manager operates with a high degree of autonomy. They engage regularly with senior management. They help mature standards, tools, data analysis, and fulfillment practices across the organization. What You'll Do Lead end-to-end delivery of complex, cross-functional programs with enterprise visibility, business-critical outcomes, and multiple interconnected workstreams. Translate strategic objectives into actionable delivery plans, achievements, success measures, governance routines, and ownership models. Drive program outcomes through partnership with business leaders to define success measures, connect delivery plans to measurable business objectives, track benefits realization, and ensure programs deliver intended business value. Establish and maintain executive-level program artifacts, dashboards, reporting, and performance metrics that provide clarity and enable informed decision-making. Proactively identify, assess, raise, and drive resolution of risks, issues, dependencies, decision points, and delivery constraints. Facilitate governance forums, leadership reviews, and decision-making routines that promote timely resolution of critical issues, clear accountability, and disciplined execution. Influence cross-functional teams without direct authority by clarifying scope, sequencing, commitments, trade-offs, and success measures. Influence the continuous improvement of standards, delivery methodologies, tools, templates, and reporting practices while mentoring less experienced team members. Own program outcomes by aligning delivery plans with quantifiable business objectives, customer impact, financial considerations, and executive-level success metrics. What We're Looking For Bachelor's degree in business, Technology, Information Systems, Finance, Product, or a related field; equivalent experience may be considered. 10+ years of experience leading complex programs, critical initiatives, enterprise delivery efforts, or related cross-functional transformation work. Proven success operating as a seasoned program leader across multiple functional areas, preferably in product, technology, gaming, digital, or similarly complex environments. Strong executive communication skills, including the ability to frame complex issues, risks, decisions, dependencies, and trade-offs clearly for senior leadership. Demonstrated ability to influence without authority, build trust with collaborators, and gain alignment in sensitive, ambiguous, or fast-paced situations. Strong knowledge of program management practices, governance models, risk and dependency management, performance reporting, and delivery methodologies. Experience working with globally distributed teams and within environments involving regulatory, compliance, operational, or commercialization constraints. Advanced proficiency with enterprise delivery tools such as Jira, Confluence, Microsoft Project, SharePoint, Excel, PowerPoint, Smartsheet, and Power BI. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness), and regulated online real-money gaming (Aristocrat Interactive). Our team of over 7,400 employees worldwide is united by our company's mission of bringing joy to life through the power of play. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. Diversity and inclusion are integral to our values of Talent Unleashed, Collective Brilliance, Good Business, Good Citizen, and It's All About the Player. We celebrate diversity and do not discriminate based on gender, race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat. Compensation Philosophy We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location. Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits. Specific details about compensation and benefits for this position will be discussed during the recruitment process.
11/09/2026
Full time
This job is with Aristocrat, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job Serving as an experienced delivery leader on the Global Product Strategic Delivery Team, the Senior Program Manager is responsible for guiding complex, enterprise-scale initiatives across Aristocrat's global product portfolio. This professional role drives cross-functional execution across Product, Technology, Engineering, Operations, Commercial, Compliance, and leadership teams to ensure strategic priorities are translated into clear plans, disciplined governance, measurable outcomes, and sustained business value. As a trusted partner to senior leaders, this role provides structure in ambiguity, influences alignment across matrixed teams, and drives accountability for delivery commitments, risks, dependencies, decisions, and outcomes. The Senior Program Manager operates with a high degree of autonomy. They engage regularly with senior management. They help mature standards, tools, data analysis, and fulfillment practices across the organization. What You'll Do Lead end-to-end delivery of complex, cross-functional programs with enterprise visibility, business-critical outcomes, and multiple interconnected workstreams. Translate strategic objectives into actionable delivery plans, achievements, success measures, governance routines, and ownership models. Drive program outcomes through partnership with business leaders to define success measures, connect delivery plans to measurable business objectives, track benefits realization, and ensure programs deliver intended business value. Establish and maintain executive-level program artifacts, dashboards, reporting, and performance metrics that provide clarity and enable informed decision-making. Proactively identify, assess, raise, and drive resolution of risks, issues, dependencies, decision points, and delivery constraints. Facilitate governance forums, leadership reviews, and decision-making routines that promote timely resolution of critical issues, clear accountability, and disciplined execution. Influence cross-functional teams without direct authority by clarifying scope, sequencing, commitments, trade-offs, and success measures. Influence the continuous improvement of standards, delivery methodologies, tools, templates, and reporting practices while mentoring less experienced team members. Own program outcomes by aligning delivery plans with quantifiable business objectives, customer impact, financial considerations, and executive-level success metrics. What We're Looking For Bachelor's degree in business, Technology, Information Systems, Finance, Product, or a related field; equivalent experience may be considered. 10+ years of experience leading complex programs, critical initiatives, enterprise delivery efforts, or related cross-functional transformation work. Proven success operating as a seasoned program leader across multiple functional areas, preferably in product, technology, gaming, digital, or similarly complex environments. Strong executive communication skills, including the ability to frame complex issues, risks, decisions, dependencies, and trade-offs clearly for senior leadership. Demonstrated ability to influence without authority, build trust with collaborators, and gain alignment in sensitive, ambiguous, or fast-paced situations. Strong knowledge of program management practices, governance models, risk and dependency management, performance reporting, and delivery methodologies. Experience working with globally distributed teams and within environments involving regulatory, compliance, operational, or commercialization constraints. Advanced proficiency with enterprise delivery tools such as Jira, Confluence, Microsoft Project, SharePoint, Excel, PowerPoint, Smartsheet, and Power BI. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness), and regulated online real-money gaming (Aristocrat Interactive). Our team of over 7,400 employees worldwide is united by our company's mission of bringing joy to life through the power of play. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. Diversity and inclusion are integral to our values of Talent Unleashed, Collective Brilliance, Good Business, Good Citizen, and It's All About the Player. We celebrate diversity and do not discriminate based on gender, race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat. Compensation Philosophy We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location. Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits. Specific details about compensation and benefits for this position will be discussed during the recruitment process.
