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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. The Opportunity 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. 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: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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 click apply for full job details

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. The Opportunity 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. 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: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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 click apply for full job details

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. The Opportunity 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. 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: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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 click apply for full job details

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. The Opportunity 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. 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: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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 click apply for full job details

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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. The Opportunity 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. 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: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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 click apply for full job details

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. The Opportunity 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. 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: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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 click apply for full job details

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity: JOB LOCATION: Cambridge, MA POSITION: Senior Data Scientist POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Senior Data Scientist with the following duties: collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions; lead data science projects through the data, analytics & machine learning lifecycle; clearly and objectively communicate results, as well as their associated limitations; apply and maintain methods, techniques and developments in analytics and data science; mentor and support other data scientists across multiple projects to drive the development of data science as a capability; develop and review working practices to ensure that data science work is delivered to robust quality standards. Up to 25% domestic travel required for hybrid requirements for onsite meetings and department events. Up to 75% remote work allowed. The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. REQUIREMENTS: Master's degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or related field plus 4 years of related experience. Prior experience must include: 4 years of data and analytics experience in life science, pharma, biotech, technology companies or relevant regulated industries; collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions; perform end-to-end data processing including extraction, cleaning, transformation, and analysis using SQL queries across multiple database systems; develop advanced analytical solutions leveraging Python, R, and other programming languages to support data-driven decision making; implement version control practices using Git to manage code repositories and leverage cloud computing infrastructure like AWS; design and implement data visualization solutions using tools like Tableau, Power BI, or similar platforms and enable self-service analytics; present data-driven insights and recommendations to senior leadership and key stakeholders. Full time. $162,000 to $260,000 per year. Qualified applicants can apply at . Please reference job . EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus

Operating from over 100 facilities in 29 countries, Jabil delivers innovative, integrated, and tailored solutions to customers across a broad range of industries and end-markets, such as automotive, consumer lifestyle and wearable tech, defense and aerospace, connected home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging and printing. How will you make an impact? Jabil is seeking a Cloud Test Development Engineer, Manufacturing who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. As the Cloud Test Development Engineer, Manufacturing, you will also be responsible for interfacing internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting, and analyzing data, and generating test reports. Sustaining Test: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs). Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure. Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards. Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date. Definition and collaboration on overall test infrastructure and application architectures. Management & Supervisory Responsibilities Reports to Management How will you get here? Expertise in the following programming/scripting languages: Python, BASH, C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS Ubuntu Expertise with hardware and API solutions for controlling, managing, and stressing L10 devices (servers, network, and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs), VMWare preferred. Expertise with leading edge networking systems, hardware, software, and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus. Experience with code versioning tools (Git preferred). Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Education: BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. Experience: 5-8 years' experience in software manufacturing test development/sustaining with enterprise server, storage, or networking products. Excellent verbal and written communication skills. Experience working in multi-site and multi-cultural environments. Domestic and/or international travel, up to 10%, may be required. What Can Jabil Offer You? Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes: Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options 401K Match Employee Stock Purchase Plan Paid Time Off Tuition Reimbursement Life, AD&D, and Disability Insurance Commuter Benefits Employee Assistance Program Pet Insurance Adoption Assistance Annual Merit Increases Community Volunteer Opportunities

Jabil is a product solutions company providing comprehensive design, manufacturing, supply chain and product management services. Operating from over 100 facilities in 29 countries, Jabil delivers innovative, integrated, and tailored solutions to customers across a broad range of industries and end-markets, such as automotive, consumer lifestyle and wearable tech, defense and aerospace, connected home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging and printing. How will you make an impact? Jabil is seeking a Software Test Development Engineer who will directly contribute to the transformative growth within our Global cloud Test Development (GCTD) team in the Cloud Enterprise and Intelligent Infrastructure (CE&I) division by applying unique and innovative approaches to solving problems within a large-scale software production environment. As the Software Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as: Motherboard, Memory, CPU, Storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Software Development Test: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports. Sustaining Test: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs). Test Infrastructure Expansions: Support the site's manufacturing server (L10) and rack (L11) current test infrastructure as well as future expansions planning, deployments, and assembly. Debugging and Troubleshooting: Diagnose and resolve issues with test software, or hardware components (servers, switches, racks, L10, L12) that may arise during the manufacturing process. Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure. Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment of testing requirements and quality standards. Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date. Definition and collaboration on overall test infrastructure and application architectures. Management & Supervisory Responsibilities Reports to Management Education: BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred Experience: 5 years' experience in software manufacturing test development/sustaining with enterprise servers, storage or networking products. Experience in the following programming/scripting languages: Python, Java, BASH, C, C++, experience a plus Linux development experience with a solid understanding of its fundamentals: CentOS Ubuntu Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Familiarity in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare. Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP) Arista CloudVision is a plus. Experience with code versioning tools (Git preferred). Knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Excellent verbal and written communication skills. Experience working in multi-site and multi-cultural environments. What Can Jabil Offer You? Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes: Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options 401K Match Employee Stock Purchase Plan Paid Time Off Tuition Reimbursement Life, AD&D, and Disability Insurance Commuter Benefits Employee Assistance Program Pet Insurance Adoption Assistance Annual Merit Increases Community Volunteer Opportunities

Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus

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. The Opportunity Are you passionate about building best-in-class digital customer experiences? If so, you might be a great fit ready to join the Bank Digital and Marketing Team, where innovation and member-centricity are at the heart of everything we do. Our dynamic team of Product Owners is on a mission to craft unparalleled digital member experiences. As an Agile Product Owner (APO) Senior, you'll work closely with our technology, design, content, data analytics and business partners to create and enhance mobile and online banking experiences. You'll act as 'voice of the end-user' bringing a data-driven approach to experience improvement decisions and impediment removal including strategic priorities and funding allocation. You will establish a Bank agile team culture routed in transparency and learning, for seeking opportunities for testing & learning, continuous experience & process improvement, and quality. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Accountable for communicating and driving the vision and strategy effectively to key stakeholders and Bank agile team members. Ensures delivery of quality product and member experience solutions through collaboration with stakeholders to determine business needs. Responsible for working closely with the Team-of-Teams Lead to assist in clarifying and driving alignment on the business strategy, goals, and objectives. Translates this understanding into a clear vision for the Bank agile team to inform the creation and prioritization of the Bank agile team's backlog of work. Partners with Team-of-Teams Lead to define and clearly communicate acceptance criteria for output based on business requirements and customer needs. Anticipates and solves complex issues using a data-driven approach to decision making including allocating funds and developing and tracking Objectives and Key Results (OKRs) that drive Bank product success. Delivers against Bank agile team level OKRs. Acts as "voice of the end-user". Proactively seeks customer feedback to learn and better understand their needs and requirements to ensure end user value is delivered to the marketplace. Owns Bank agile team backlog (grooming, prioritization, and refinement). Responsible for maintaining a groomed backlog of user stories; works with the Agile Bank agile team to estimate story size and complexity. Optimizes the flow of value through the multi-Bank agile team Agile environment and progresses towards objectives, goals, and commitments, while removing impediments, resolving conflicts, and managing risks and issues. Begins to take a strategic view and think proactively about the right way to meet objectives. Acts in service of the Bank agile team's needs and goals; offer feedback on work-in-progress, clarifies requirements, anticipates and removes roadblocks or impediments that may prevent the Bank agile team from progressing on objectives and answers questions. Looks for opportunities for continuous Bank agile team and process improvement. Makes recommendations to leadership. May lead functional Bank agile teams or projects with moderate resource requirements, risk, and/or complexity. 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6+ years of experience in process improvement, project delivery, business/requirements analysis or directly related to supported business operations/product line. Knowledge of multiple technical software delivery methodologies (i.e., Agile, Waterfall, SAFe). Advanced experience analyzing business requirements, process flows and use cases to identify opportunities to streamline business processes in accordance with risk management framework and regulatory requirements. Advanced knowledge and demonstrated use of Process Engineering methodologies. Working knowledge of applicable banking, regulatory, compliance policies including applicable laws, rules, and regulations. Communicates difficult concepts and negotiates with others to adopt a different point of view. What sets you apart: Drive outstanding digital experiences by focusing on the entire member journey through CX mapping and Human-Centered Design, ensuring a superior user experience. Leverage an analytics and data-driven mindset to identify and address unmet member needs, informing product and experience improvements. Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Knowledge of digital messaging, focusing on push notification strategies, mobile app engagement, and integrated digital communications. Includes understanding of UX for messaging, analytics, and security. Significant experience independently managing cross-functional teams with minimal oversight needed from direct leader to drive to timely, high-quality deliverables. Experience in leading innovative and pragmatic programs that translate business and customer needs into solutions with a measurable output. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $103,450 - $197,730. 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. The Opportunity Are you passionate about building best-in-class digital customer experiences? If so, you might be a great fit ready to join the Bank Digital and Marketing Team, where innovation and member-centricity are at the heart of everything we do. Our dynamic team of Product Owners is on a mission to craft unparalleled digital member experiences. As an Agile Product Owner (APO) Senior, you'll work closely with our technology, design, content, data analytics and business partners to create and enhance mobile and online banking experiences. You'll act as 'voice of the end-user' bringing a data-driven approach to experience improvement decisions and impediment removal including strategic priorities and funding allocation. You will establish a Bank agile team culture routed in transparency and learning, for seeking opportunities for testing & learning, continuous experience & process improvement, and quality. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Accountable for communicating and driving the vision and strategy effectively to key stakeholders and Bank agile team members. Ensures delivery of quality product and member experience solutions through collaboration with stakeholders to determine business needs. Responsible for working closely with the Team-of-Teams Lead to assist in clarifying and driving alignment on the business strategy, goals, and objectives. Translates this understanding into a clear vision for the Bank agile team to inform the creation and prioritization of the Bank agile team's backlog of work. Partners with Team-of-Teams Lead to define and clearly communicate acceptance criteria for output based on business requirements and customer needs. Anticipates and solves complex issues using a data-driven approach to decision making including allocating funds and developing and tracking Objectives and Key Results (OKRs) that drive Bank product success. Delivers against Bank agile team level OKRs. Acts as "voice of the end-user". Proactively seeks customer feedback to learn and better understand their needs and requirements to ensure end user value is delivered to the marketplace. Owns Bank agile team backlog (grooming, prioritization, and refinement). Responsible for maintaining a groomed backlog of user stories; works with the Agile Bank agile team to estimate story size and complexity. Optimizes the flow of value through the multi-Bank agile team Agile environment and progresses towards objectives, goals, and commitments, while removing impediments, resolving conflicts, and managing risks and issues. Begins to take a strategic view and think proactively about the right way to meet objectives. Acts in service of the Bank agile team's needs and goals; offer feedback on work-in-progress, clarifies requirements, anticipates and removes roadblocks or impediments that may prevent the Bank agile team from progressing on objectives and answers questions. Looks for opportunities for continuous Bank agile team and process improvement. Makes recommendations to leadership. May lead functional Bank agile teams or projects with moderate resource requirements, risk, and/or complexity. 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6+ years of experience in process improvement, project delivery, business/requirements analysis or directly related to supported business operations/product line. Knowledge of multiple technical software delivery methodologies (i.e., Agile, Waterfall, SAFe). Advanced experience analyzing business requirements, process flows and use cases to identify opportunities to streamline business processes in accordance with risk management framework and regulatory requirements. Advanced knowledge and demonstrated use of Process Engineering methodologies. Working knowledge of applicable banking, regulatory, compliance policies including applicable laws, rules, and regulations. Communicates difficult concepts and negotiates with others to adopt a different point of view. What sets you apart: Drive outstanding digital experiences by focusing on the entire member journey through CX mapping and Human-Centered Design, ensuring a superior user experience. Leverage an analytics and data-driven mindset to identify and address unmet member needs, informing product and experience improvements. Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Knowledge of digital messaging, focusing on push notification strategies, mobile app engagement, and integrated digital communications. Includes understanding of UX for messaging, analytics, and security. Significant experience independently managing cross-functional teams with minimal oversight needed from direct leader to drive to timely, high-quality deliverables. Experience in leading innovative and pragmatic programs that translate business and customer needs into solutions with a measurable output. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $103,450 - $197,730. 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. The Opportunity Are you passionate about building best-in-class digital customer experiences? If so, you might be a great fit ready to join the Bank Digital and Marketing Team, where innovation and member-centricity are at the heart of everything we do. Our dynamic team of Product Owners is on a mission to craft unparalleled digital member experiences. As an Agile Product Owner (APO) Senior, you'll work closely with our technology, design, content, data analytics and business partners to create and enhance mobile and online banking experiences. You'll act as 'voice of the end-user' bringing a data-driven approach to experience improvement decisions and impediment removal including strategic priorities and funding allocation. You will establish a Bank agile team culture routed in transparency and learning, for seeking opportunities for testing & learning, continuous experience & process improvement, and quality. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Accountable for communicating and driving the vision and strategy effectively to key stakeholders and Bank agile team members. Ensures delivery of quality product and member experience solutions through collaboration with stakeholders to determine business needs. Responsible for working closely with the Team-of-Teams Lead to assist in clarifying and driving alignment on the business strategy, goals, and objectives. Translates this understanding into a clear vision for the Bank agile team to inform the creation and prioritization of the Bank agile team's backlog of work. Partners with Team-of-Teams Lead to define and clearly communicate acceptance criteria for output based on business requirements and customer needs. Anticipates and solves complex issues using a data-driven approach to decision making including allocating funds and developing and tracking Objectives and Key Results (OKRs) that drive Bank product success. Delivers against Bank agile team level OKRs. Acts as "voice of the end-user". Proactively seeks customer feedback to learn and better understand their needs and requirements to ensure end user value is delivered to the marketplace. Owns Bank agile team backlog (grooming, prioritization, and refinement). Responsible for maintaining a groomed backlog of user stories; works with the Agile Bank agile team to estimate story size and complexity. Optimizes the flow of value through the multi-Bank agile team Agile environment and progresses towards objectives, goals, and commitments, while removing impediments, resolving conflicts, and managing risks and issues. Begins to take a strategic view and think proactively about the right way to meet objectives. Acts in service of the Bank agile team's needs and goals; offer feedback on work-in-progress, clarifies requirements, anticipates and removes roadblocks or impediments that may prevent the Bank agile team from progressing on objectives and answers questions. Looks for opportunities for continuous Bank agile team and process improvement. Makes recommendations to leadership. May lead functional Bank agile teams or projects with moderate resource requirements, risk, and/or complexity. 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6+ years of experience in process improvement, project delivery, business/requirements analysis or directly related to supported business operations/product line. Knowledge of multiple technical software delivery methodologies (i.e., Agile, Waterfall, SAFe). Advanced experience analyzing business requirements, process flows and use cases to identify opportunities to streamline business processes in accordance with risk management framework and regulatory requirements. Advanced knowledge and demonstrated use of Process Engineering methodologies. Working knowledge of applicable banking, regulatory, compliance policies including applicable laws, rules, and regulations. Communicates difficult concepts and negotiates with others to adopt a different point of view. What sets you apart: Drive outstanding digital experiences by focusing on the entire member journey through CX mapping and Human-Centered Design, ensuring a superior user experience. Leverage an analytics and data-driven mindset to identify and address unmet member needs, informing product and experience improvements. Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Knowledge of digital messaging, focusing on push notification strategies, mobile app engagement, and integrated digital communications. Includes understanding of UX for messaging, analytics, and security. Significant experience independently managing cross-functional teams with minimal oversight needed from direct leader to drive to timely, high-quality deliverables. Experience in leading innovative and pragmatic programs that translate business and customer needs into solutions with a measurable output. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $103,450 - $197,730. 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. The Opportunity Are you passionate about building best-in-class digital customer experiences? If so, you might be a great fit ready to join the Bank Digital and Marketing Team, where innovation and member-centricity are at the heart of everything we do. Our dynamic team of Product Owners is on a mission to craft unparalleled digital member experiences. As an Agile Product Owner (APO) Senior, you'll work closely with our technology, design, content, data analytics and business partners to create and enhance mobile and online banking experiences. You'll act as 'voice of the end-user' bringing a data-driven approach to experience improvement decisions and impediment removal including strategic priorities and funding allocation. You will establish a Bank agile team culture routed in transparency and learning, for seeking opportunities for testing & learning, continuous experience & process improvement, and quality. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Accountable for communicating and driving the vision and strategy effectively to key stakeholders and Bank agile team members. Ensures delivery of quality product and member experience solutions through collaboration with stakeholders to determine business needs. Responsible for working closely with the Team-of-Teams Lead to assist in clarifying and driving alignment on the business strategy, goals, and objectives. Translates this understanding into a clear vision for the Bank agile team to inform the creation and prioritization of the Bank agile team's backlog of work. Partners with Team-of-Teams Lead to define and clearly communicate acceptance criteria for output based on business requirements and customer needs. Anticipates and solves complex issues using a data-driven approach to decision making including allocating funds and developing and tracking Objectives and Key Results (OKRs) that drive Bank product success. Delivers against Bank agile team level OKRs. Acts as "voice of the end-user". Proactively seeks customer feedback to learn and better understand their needs and requirements to ensure end user value is delivered to the marketplace. Owns Bank agile team backlog (grooming, prioritization, and refinement). Responsible for maintaining a groomed backlog of user stories; works with the Agile Bank agile team to estimate story size and complexity. Optimizes the flow of value through the multi-Bank agile team Agile environment and progresses towards objectives, goals, and commitments, while removing impediments, resolving conflicts, and managing risks and issues. Begins to take a strategic view and think proactively about the right way to meet objectives. Acts in service of the Bank agile team's needs and goals; offer feedback on work-in-progress, clarifies requirements, anticipates and removes roadblocks or impediments that may prevent the Bank agile team from progressing on objectives and answers questions. Looks for opportunities for continuous Bank agile team and process improvement. Makes recommendations to leadership. May lead functional Bank agile teams or projects with moderate resource requirements, risk, and/or complexity. 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6+ years of experience in process improvement, project delivery, business/requirements analysis or directly related to supported business operations/product line. Knowledge of multiple technical software delivery methodologies (i.e., Agile, Waterfall, SAFe). Advanced experience analyzing business requirements, process flows and use cases to identify opportunities to streamline business processes in accordance with risk management framework and regulatory requirements. Advanced knowledge and demonstrated use of Process Engineering methodologies. Working knowledge of applicable banking, regulatory, compliance policies including applicable laws, rules, and regulations. Communicates difficult concepts and negotiates with others to adopt a different point of view. What sets you apart: Drive outstanding digital experiences by focusing on the entire member journey through CX mapping and Human-Centered Design, ensuring a superior user experience. Leverage an analytics and data-driven mindset to identify and address unmet member needs, informing product and experience improvements. Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Knowledge of digital messaging, focusing on push notification strategies, mobile app engagement, and integrated digital communications. Includes understanding of UX for messaging, analytics, and security. Significant experience independently managing cross-functional teams with minimal oversight needed from direct leader to drive to timely, high-quality deliverables. Experience in leading innovative and pragmatic programs that translate business and customer needs into solutions with a measurable output. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $103,450 - $197,730. 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. The Opportunity Are you passionate about building best-in-class digital customer experiences? If so, you might be a great fit ready to join the Bank Digital and Marketing Team, where innovation and member-centricity are at the heart of everything we do. Our dynamic team of Product Owners is on a mission to craft unparalleled digital member experiences. As an Agile Product Owner (APO) Senior, you'll work closely with our technology, design, content, data analytics and business partners to create and enhance mobile and online banking experiences. You'll act as 'voice of the end-user' bringing a data-driven approach to experience improvement decisions and impediment removal including strategic priorities and funding allocation. You will establish a Bank agile team culture routed in transparency and learning, for seeking opportunities for testing & learning, continuous experience & process improvement, and quality. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Accountable for communicating and driving the vision and strategy effectively to key stakeholders and Bank agile team members. Ensures delivery of quality product and member experience solutions through collaboration with stakeholders to determine business needs. Responsible for working closely with the Team-of-Teams Lead to assist in clarifying and driving alignment on the business strategy, goals, and objectives. Translates this understanding into a clear vision for the Bank agile team to inform the creation and prioritization of the Bank agile team's backlog of work. Partners with Team-of-Teams Lead to define and clearly communicate acceptance criteria for output based on business requirements and customer needs. Anticipates and solves complex issues using a data-driven approach to decision making including allocating funds and developing and tracking Objectives and Key Results (OKRs) that drive Bank product success. Delivers against Bank agile team level OKRs. Acts as "voice of the end-user". Proactively seeks customer feedback to learn and better understand their needs and requirements to ensure end user value is delivered to the marketplace. Owns Bank agile team backlog (grooming, prioritization, and refinement). Responsible for maintaining a groomed backlog of user stories; works with the Agile Bank agile team to estimate story size and complexity. Optimizes the flow of value through the multi-Bank agile team Agile environment and progresses towards objectives, goals, and commitments, while removing impediments, resolving conflicts, and managing risks and issues. Begins to take a strategic view and think proactively about the right way to meet objectives. Acts in service of the Bank agile team's needs and goals; offer feedback on work-in-progress, clarifies requirements, anticipates and removes roadblocks or impediments that may prevent the Bank agile team from progressing on objectives and answers questions. Looks for opportunities for continuous Bank agile team and process improvement. Makes recommendations to leadership. May lead functional Bank agile teams or projects with moderate resource requirements, risk, and/or complexity. 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6+ years of experience in process improvement, project delivery, business/requirements analysis or directly related to supported business operations/product line. Knowledge of multiple technical software delivery methodologies (i.e., Agile, Waterfall, SAFe). Advanced experience analyzing business requirements, process flows and use cases to identify opportunities to streamline business processes in accordance with risk management framework and regulatory requirements. Advanced knowledge and demonstrated use of Process Engineering methodologies. Working knowledge of applicable banking, regulatory, compliance policies including applicable laws, rules, and regulations. Communicates difficult concepts and negotiates with others to adopt a different point of view. What sets you apart: Drive outstanding digital experiences by focusing on the entire member journey through CX mapping and Human-Centered Design, ensuring a superior user experience. Leverage an analytics and data-driven mindset to identify and address unmet member needs, informing product and experience improvements. Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Knowledge of digital messaging, focusing on push notification strategies, mobile app engagement, and integrated digital communications. Includes understanding of UX for messaging, analytics, and security. Significant experience independently managing cross-functional teams with minimal oversight needed from direct leader to drive to timely, high-quality deliverables. Experience in leading innovative and pragmatic programs that translate business and customer needs into solutions with a measurable output. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $103,450 - $197,730. 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. The Opportunity Are you passionate about building best-in-class digital customer experiences? If so, you might be a great fit ready to join the Bank Digital and Marketing Team, where innovation and member-centricity are at the heart of everything we do. Our dynamic team of Product Owners is on a mission to craft unparalleled digital member experiences. As an Agile Product Owner (APO) Senior, you'll work closely with our technology, design, content, data analytics and business partners to create and enhance mobile and online banking experiences. You'll act as 'voice of the end-user' bringing a data-driven approach to experience improvement decisions and impediment removal including strategic priorities and funding allocation. You will establish a Bank agile team culture routed in transparency and learning, for seeking opportunities for testing & learning, continuous experience & process improvement, and quality. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Accountable for communicating and driving the vision and strategy effectively to key stakeholders and Bank agile team members. Ensures delivery of quality product and member experience solutions through collaboration with stakeholders to determine business needs. Responsible for working closely with the Team-of-Teams Lead to assist in clarifying and driving alignment on the business strategy, goals, and objectives. Translates this understanding into a clear vision for the Bank agile team to inform the creation and prioritization of the Bank agile team's backlog of work. Partners with Team-of-Teams Lead to define and clearly communicate acceptance criteria for output based on business requirements and customer needs. Anticipates and solves complex issues using a data-driven approach to decision making including allocating funds and developing and tracking Objectives and Key Results (OKRs) that drive Bank product success. Delivers against Bank agile team level OKRs. Acts as "voice of the end-user". Proactively seeks customer feedback to learn and better understand their needs and requirements to ensure end user value is delivered to the marketplace. Owns Bank agile team backlog (grooming, prioritization, and refinement). Responsible for maintaining a groomed backlog of user stories; works with the Agile Bank agile team to estimate story size and complexity. Optimizes the flow of value through the multi-Bank agile team Agile environment and progresses towards objectives, goals, and commitments, while removing impediments, resolving conflicts, and managing risks and issues. Begins to take a strategic view and think proactively about the right way to meet objectives. Acts in service of the Bank agile team's needs and goals; offer feedback on work-in-progress, clarifies requirements, anticipates and removes roadblocks or impediments that may prevent the Bank agile team from progressing on objectives and answers questions. Looks for opportunities for continuous Bank agile team and process improvement. Makes recommendations to leadership. May lead functional Bank agile teams or projects with moderate resource requirements, risk, and/or complexity. 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6+ years of experience in process improvement, project delivery, business/requirements analysis or directly related to supported business operations/product line. Knowledge of multiple technical software delivery methodologies (i.e., Agile, Waterfall, SAFe). Advanced experience analyzing business requirements, process flows and use cases to identify opportunities to streamline business processes in accordance with risk management framework and regulatory requirements. Advanced knowledge and demonstrated use of Process Engineering methodologies. Working knowledge of applicable banking, regulatory, compliance policies including applicable laws, rules, and regulations. Communicates difficult concepts and negotiates with others to adopt a different point of view. What sets you apart: Drive outstanding digital experiences by focusing on the entire member journey through CX mapping and Human-Centered Design, ensuring a superior user experience. Leverage an analytics and data-driven mindset to identify and address unmet member needs, informing product and experience improvements. Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Knowledge of digital messaging, focusing on push notification strategies, mobile app engagement, and integrated digital communications. Includes understanding of UX for messaging, analytics, and security. Significant experience independently managing cross-functional teams with minimal oversight needed from direct leader to drive to timely, high-quality deliverables. Experience in leading innovative and pragmatic programs that translate business and customer needs into solutions with a measurable output. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $103,450 - $197,730. 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.

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One 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 accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).