13 jobs found

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 Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. Strong communication skills with the ability to influence stakeholders and align cross-functional teams Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization Compensation range: The salary range for this position is: $189,370 - $361,950. 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 Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. Strong communication skills with the ability to influence stakeholders and align cross-functional teams Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization Compensation range: The salary range for this position is: $189,370 - $361,950. 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.

Hello Hope you are doing great, Job Title: Systems Analyst Location: Remote Contract: Long Term Job Description: DESCRIPTION OF SERVICES Texas Health and Human Services Commission requires the services of 1 Systems Analyst 3 , hereafter referred to as Candidate(s), who meets the general qualifications of Systems Analyst 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission . All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s). The Department of Information Resources (DIR) requires the services of 1 Systems Analyst 3 , hereafter referred to as Worker, who meets the general qualification of Systems Analyst 3 and the specifications outlined in this document for the above-named customer. Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system. Special Consideration- Due to the specialized skill set being sought, we understand it may be difficult to recruit in Austin. We'd like to request an exception to this standard, as the program area is pushing to get this resource in quickly. Job Details The Health and Human Services Commission (HHSC) requires the services of one (1) Cerner Millennium CCL and Data Transformation Lead to support Electronic Health Record (EHR) migration initiatives. This staff augmentation role provides a combination of Millennium data management expertise and hands on technical development and data extraction approaches within Cerner Millennium environments. The Worker will ensure that clinical workflow intent and operational requirements are accurately translated into Cerner Command Language (CCL) logic, data extracts, and downstream reporting and analytics solutions. This position operates under HHSC direction, policies, and standards, and collaborates closely with clinical stakeholders, informatics governance bodies, and technical delivery teams to support EHR modernization, data migration, reporting, and legacy system retirement efforts. Description of Services / Key Responsibilities The Worker will perform the following services, including but not limited to: 1. Assess, analyze, and document clinical workflows across inpatient, outpatient, and ancillary care settings. 2. Translate clinical and operational requirements into technical specifications for data extraction, reporting, and analytics solutions. 3. Design, develop, test, optimize, and maintain Cerner Command Language (CCL) scripts within Cerner Millennium environments. 4. Perform complex data extraction, validation, and reconciliation from Cerner Millennium Oracle schemas. 5. Support enterprise wide EHR data migration, reporting, and legacy system retirement initiatives. 6. Develop, maintain, and support structured data feeds, flat file extracts, and ETL processes. 7. Troubleshoot and resolve CCL performance issues and downstream data integration or reporting challenges. 8. Serve as a liaison between clinical informatics stakeholders and technical delivery teams to ensure accurate implementation of clinical intent. 9. Clearly communicate data limitations, technical constraints, and system dependencies to non technical audiences. 10. Execute and tune CCL scripts, manage batch jobs, and support production and non production environments in accordance with HHSC standards. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 11 Required Strong understanding of clinical workflows and healthcare operations. 11 Required Demonstrated experience supporting large scale EHR implementations, migrations, or optimization initiatives. 11 Required Proven ability to translate clinical requirements into technical and data specifications. 11 Required Advanced, hands on experience with Cerner Command Language (CCL). 11 Required Working knowledge of Cerner Millennium architecture and Oracle databases 11 Required Experience with SQL, Linux, and enterprise data extraction or migration patterns. 11 Required Experience designing and supporting ETL processes. 11 Required Familiarity with healthcare data integrations and reporting environments. 11 Required Experience with REST / SOA development. 11 Required Knowledge of distributed systems, networking, and performance tuning. 11 Required Experience writing, executing, and tuning CCL scripts in production environments. 11 Required Experience with data extraction, system integration, and code development. 11 Required Working knowledge of one or more of the following: Java, C, C++, Python, Perl, OCI. 11 Required Hands on experience developing or supporting services on public cloud platforms (AWS, Azure, GCP, OCI). 11 Preferred Experience supporting Cerner Millennium environments. 11 Preferred Prior experience serving as a senior Cerner consultant or technical lead.

Principal, Data Governance Direct hire Hybrid remote- Wednesdays onsite in Boston, MA $130k-140k We are seeking a Principal, Data Governance to join a growing Enterprise Data & Analytics function. This is a highly visible, strategic role for a senior leader who can help stand up and scale a modern data governance program while partnering closely with both technical and business stakeholders. This role is ideal for someone who combines technical depth (data, SQL, lineage) with strong communication and leadership skills , and is excited to drive adoption of governance practices across an organization. Core Responsibilities You will play a key role in advancing five foundational pillars of the data governance program: Operating Model Develop and refine the data governance operating model, including policies, standards, and best practices Metadata Management Drive adoption and optimization of enterprise data catalog tools Ensure seamless integration with modern data platforms (e.g., Snowflake, Databricks) Data Quality Establish data quality standards, rules, and monitoring frameworks Partner with teams to improve trust and reliability of data assets Data Stewardship Lead governance forums (e.g., Data Governance Council) Enable and support data stewards across the organization Master Data Management (MDM) Contribute to long-term strategy and roadmap for MDM and reference data Key Duties Act as a "train-the-trainer" , developing job aids, documentation, and training materials to promote data literacy Partner with stakeholders to understand business needs and translate them into governance requirements Read and interpret SQL to validate data lineage and metadata accuracy Manage metadata workflows, approvals, and cataloging processes Required Qualifications 7+ years of experience in data governance, metadata management, data quality, or data stewardship Strong experience with Snowflake (required) Hands-on experience with at least one data governance tool: Atlan, Collibra, Alation, or data.world Deep understanding of: Data lineage, metadata management, and data cataloging Data quality frameworks and tools (e.g., Informatica IDQ, Talend, DataGaps) Experience working within modern data ecosystems (e.g., Snowflake, Databricks, BI tools) Key Skills & Attributes Excellent communication and stakeholder management skills (this is a highly collaborative role) Ability to influence across technical and non-technical teams Strong analytical and problem-solving mindset Experience working in regulated environments (e.g., familiarity with HIPAA, GDPR, CCPA is a plus) Education Bachelor's degree in Computer Science, Information Systems, Analytics, Business, Engineering, or related field required Master's degree preferred Work Environment Hybrid schedule (onsite midweek) Why Join? This is a unique opportunity to help shape and scale a data governance program from the ground up , working at the intersection of strategy, technology, and business enablement. If you're looking for a role where you can drive real impact and establish best-in-class data practices, we'd love to connect.

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 Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. Strong communication skills with the ability to influence stakeholders and align cross-functional teams Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization Compensation range: The salary range for this position is: $189,370 - $361,950. 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 Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. Strong communication skills with the ability to influence stakeholders and align cross-functional teams Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization Compensation range: The salary range for this position is: $189,370 - $361,950. 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 Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. Strong communication skills with the ability to influence stakeholders and align cross-functional teams Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization Compensation range: The salary range for this position is: $189,370 - $361,950. 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 Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. Strong communication skills with the ability to influence stakeholders and align cross-functional teams Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization Compensation range: The salary range for this position is: $189,370 - $361,950. 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.

Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking an Accounts Payable Clerk for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you - apply today! "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans." Job Title: IAM Engineer Job Category: IT Industry: Airlines Job Location: Remote Pay rate: 70-78/hr on w2 Duration: 7+ Months IAM Engineer Job Description Job Details: Notes: Strong Microsoft EntraID experience and passwordless multi-factor authentication experience. Top 5 Skill sets Configuring authentication (OIDC, SAML, OAuth) for applications Microsoft Entra conditional access policies Experience with enabling MFA and SSO Migration of applications between Identity Platforms/Providers Developing automation/scripts to support onboarding of applications and users to Identity platforms Nice to have skills or certifications: Duo Experience, Microsoft Entra, Oracle Access Manager Enable Microsoft Entra app proxy CISSP or Azure Certifications This is a senior-level position that will execute the implementation of designs and requirements provided by IAM architects and analysts and ensures that IAM capabilities and services are successfully integrated within systems across the organization while also providing ongoing support and maintenance as needed for IAM processes and technology. Job Summary The IAM Security Engineer is responsible for implementing, integrating, and supporting authentication and authorization solutions aligned with Cybersecurity and Digital Risk (CDR) principles. This role focuses on protecting enterprise data, reducing security risk, and enabling secure access for the Client workforce. The Senior IAM Engineer will lead the implementation and support of modern enterprise Workforce IAM systems. They will collaborate closely with cross-functional development teams, architects, analysts, and business stakeholders to ensure secure identity solutions are integrated throughout the product lifecycle. This role serves as a key technical contact for IAM authentication and authorization services across the organization. Essential Job Accountabilities (Core responsibilities accounting for 10% or more of the role) 1. IAM Platform Implementation & Support (40%) Implement, administer, and support workforce IAM platforms including Oracle Access Manager (OAM), Microsoft Entra, and Duo. Design, configure, and troubleshoot authentication and authorization solutions throughout the SDLC. Support automated migration of applications from Oracle Access Manager to Microsoft Entra. Onboard and integrate new applications with Microsoft Entra. Perform detailed root cause analysis of IAM issues and implement preventative solutions. Engineer scalable, secure, and high-performance IAM solutions. 2. IAM Process Engineering & Automation (20%) Develop, enhance, test, document, and maintain IAM integration processes. Simplify and automate access management workflows to improve user experience. Architect and implement accelerators and automation enablers for IAM operations. Identify optimization opportunities and execute strategies to improve efficiency, scalability, and service delivery. Job Title: IAM Engineer Job Category: IT Industry: Airlines Job Location: Remote Pay rate: 70-78/hr on w2 Duration: 7+ Months Email Qualified Resumes to: IAM Engineer Job Description Job Details: Notes: Strong Microsoft EntraID experience and passwordless multi-factor authentication experience. Top 5 Skill sets Configuring authentication (OIDC, SAML, OAuth) for applications Microsoft Entra conditional access policies Experience with enabling MFA and SSO Migration of applications between Identity Platforms/Providers Developing automation/scripts to support onboarding of applications and users to Identity platforms Nice to have skills or certifications: Duo Experience, Microsoft Entra, Oracle Access Manager Enable Microsoft Entra app proxy CISSP or Azure Certifications Job Summary The IAM Security Engineer is responsible for implementing, integrating, and supporting authentication and authorization solutions aligned with Cybersecurity and Digital Risk (CDR) principles. This role focuses on protecting enterprise data, reducing security risk, and enabling secure access for the Client workforce. 5. Metrics, KPIs & Operational Support (10%) Support delivery of IAM metrics and KPIs through system analysis and integrations. Provide ongoing operational support and maintenance for IAM services and processes. Required Qualifications & Experience IAM & Security Expertise In-depth knowledge of Workforce IAM, Single Sign-On (SSO), and Multi-Factor Authentication (MFA). Proven experience onboarding SSO applications and integrating MFA with cloud-based identity providers. Strong understanding of modern authentication protocols and standards: o FIDO2, SAML, OAuth, OIDC, Kerberos, Federation Hands-on experience with: o Passwordless authentication o API Gateways o SCIM connector development o Identity platforms such as Microsoft Entra, Duo, Oracle Access Manager, Ping Identity, Okta, or ForgeRock Compliance & Risk Practical knowledge of compliance and regulatory frameworks: o SOX, PCI, FAA, GDPR, PII Strong understanding of Zero Trust architecture, adaptive risk-based authorization, identity proofing, and verification technologies. Familiarity with security frameworks and governance standards: o ISO, NIST, CSA Controls Matrix Technical & Industry Experience Experience with large-scale identity transformation initiatives, including migration from on-premise to cloud-based IAM services. Prior experience implementing passwordless technologies in large enterprise environments. Experience supporting IAM functions within the airline or transportation industry (preferred). Exposure to AI/ML, algorithm development, or automation-driven technical solutions (preferred). Software Development & Delivery Expertise in modern software development lifecycles and Agile methodologies. Experience with automated cloud infrastructure deployment. Core Competencies Strong written and verbal communication skills; ability to communicate with both technical and non-technical audiences. Excellent attention to detail with qualitative and quantitative data. Strong analytical and problem-solving skills with the ability to adapt quickly to changing priorities. Demonstrated initiative and ownership of deliverables and outcomes.

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Senior Data AnalystDepartment:Dentistry Information Technology The College of Dentistry (CoD) Information Systems IT department invites you to be a key part of our team as a Senior Data Analyst. In joining our team, you'll support the research, academic, and patient care missions of our college. In this role you will help maintain and innovate operations from a data analytics and data governance standpoint. This new position will have the opportunity to develop new reporting and data driven decision making as our college transitions to the Epic Electronic Health Record Application. In partnering with other college faculty and staff you will assist in extracting data, normalizing data, and helping present data to key stakeholders. Working within Epic and Tableau, your role will develop new dashboards and visualizations, create data definitions, and support a centralized data governance model. Within this role you will have access to exciting project opportunities, cross-unit collaboration, and the university's professional development resources to support your growth and success. This position reports to the Assistant Dean of Information Technology at the College of Dentistry. What You'll Do: Understand data needs to maintain existing reporting services while developing new capabilities that drive business value. Lead functional design for capturing, extracting, storing, and disseminating data across the organization. Help assess data quality and completeness. Use both qualitative and quantitative methods to assess data requests. Develop and maintain Tableau Dashboards to meet key stakeholder objectives. This could include supporting clinical operations, academic progress, or strategic projects to support the Colleges Strategic Plan. Consult with clinics, academic leaders, and research areas to analyze requests and define business requirements. Use project management fundamentals to manage timelines, objectives, scope, communication, change management, and implementation. As a data owner, work to define data values so all members of the college of dentistry, the Medical Center, and external collaborators are clear on data definitions. Support the data retention policies and lifecycle process. Support our end users through tickets, phone calls, walk-ins, user education, or through strategic projects. This position has regular weekly on-site responsibilities. Work Schedule: Monday - Friday, 7:30 am - 4:30 pm. Evenings and weekends only if needed. Flexible scheduling and some remote work days are possibly available for this position. Targeted hiring pay range is between $81,800 - $106,900 dependent on experience and education. Skills Needed: Bachelor's degree or equivalent experience, plus 4 years of experience leading projects or work in the field of data analytics is required; 4-8 years of relevant experience is preferred. Professional experience in developing data visualizations through tools such as Tableau. Professional experience with query languages such as PL/SQL, MySql, and T-SQL and databases like SQL Server, Oracle and/or MySQL are required. Familiarity with Python development. Demonstrated ability to perform quantitative and qualitative data analysis. Excellent written and verbal communication skills. Such as leading a presentation of data findings or working with key stakeholders on defining requirements. Ability to communicate complex technical information to non-technical stakeholders. Proven ability to document work in the form of SOPs, READMEs, process mapping, workflow diagrams, and code comments. Ohio State University will not sponsor applicants for work visas for this position. The final candidate must successfully complete a background check and a drug and alcohol screening. Additional Information:Location:Postle Hall (0024)Position Type:RegularScheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

Description Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve. Summary: UNC Health's Digital Health & Innovation team is seeking a highly skilled Senior Analyst with expertise in Epic Cheers Campaigns and/or Healthy Planet to help advance our patient engagement and marketing automation strategy. This position will focus on building and optimizing front-end campaign logic to accurately identify and target the right patient and prospective patient populations, ensuring our outreach efforts are data-driven, compliant, and aligned with organizational goals. In addition to supporting traditional patient engagement efforts, this role will collaborate closely with Marketing and Population Health teams to ingest and operationalize prospective patient data into Epic Cheers. The Senior Analyst will also design and maintain robust reporting and dashboards to measure campaign performance, ROI, and the overall value delivered to UNC Health. Responsibilities: Design, build, and maintain Epic Cheers Campaigns using complex rules and logic to identify appropriate populations for targeted outreach. Partner with Marketing and Analytics teams to integrate prospective patient data sources into Epic, enabling outreach to potential patients not yet attributed to UNC Health. Translate campaign requirements into efficient and scalable logic within Epic (using Rule Editor, Reporting Workbench, Healthy Planet registries, or Clarity/Caboodle queries). Develop and support comprehensive campaign performance dashboards, tracking metrics such as reach, engagement, conversion, and ROI. Collaborate with stakeholders to define value frameworks for campaigns (e.g., downstream appointments, care gap closure, network retention, or revenue influence). Ensure campaign data accuracy, segmentation integrity, and consistency across multiple concurrent initiatives. Establish and maintain standardized templates and governance for campaign logic, documentation, and reporting. Identify opportunities to improve efficiency, automation, and alignment between clinical, operational, and marketing outreach. Support UNC Health's strategic shift toward data-driven, omnichannel engagement, leveraging the Epic platform as the foundation for personalized outreach and patient experience improvement. The ideal candidate will have 3+ years of hands-on Epic experience, preferably with Epic Cheers Campaigns, Healthy Planet, or other population management tools. Proven ability to analyze requirements and build data logic to support targeted campaigns. Experience with Epic reporting tools (Rule Editor, Reporting Workbench, SlicerDicer, Clarity/Caboodle). Strong analytical, documentation, and organizational skills with a detail-oriented mindset. Demonstrated ability to manage multiple projects in a fast-paced environment and communicate effectively across business and technical teams. Other Information Education Requirements: Bachelor's degree in Computer Science, Information Systems Management or related field (or equivalent combination of education, training and experience). Licensure/Certification Requirements: Preferred: Epic certification or "accreditation" in Cheers Campaigns and/or Healthy Planet (or similar Epic modules such as MyChart) Professional Experience Requirements: If a Bachelor's degree: Four (4) years of experience with IT systems and/or related operational experience. If an Associate's degree: Six (6) years of IT systems and/or related operational experience. If a High School diploma or GED: Eight (8) years of IT systems and/or related operational experience. Knowledge/Skills/and Abilities Requirements: Excellent analytical and communication skills. Ability to work well in a team environment. Demonstrated ability to successfully manage multiple tasks simultaneously. Highly responsive to internal customers. Job Details Legal Employer: NCHEALTH Entity: Shared Services Organization Unit: ISD Business and Revenue Cycle Work Type: Full Time Standard Hours Per Week: 40.00 Salary Range: $41.45 - $59.58 per hour (Hiring Range) Pay offers are determined by experience and internal equity Work Assignment Type: Remote Work Schedule: Day Job Location of Job: US:NC:Morrisville Exempt From Overtime: Exempt: Yes This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Health Care System, in a department that provides shared services to operations across UNC Health Care; except that, if you are currently a UNCHCS State employee already working in a designated shared services department, you may remain a UNCHCS State employee if selected for this job. Qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, status as a protected veteran or political affiliation. UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email if you need a reasonable accommodation to search and/or to apply for a career opportunity.

INVESTMENT MANAGEMENT GOVERNANCE OFFICE SENIOR BUSINESS ANALYST WHAT IS THE OPPORTUNITY? Working within the Wealth Management division, you will be part of the team that provides oversight and guidance to City National's lines of business with a strong focus on integrated and streamlined investment management governance programs. WHAT WILL YOU DO? Build and sustain effective relationships and alliances both internally and across all lines of business and staff areas to help deliver results and to ensure applicable issues are identified, analyzed and managed appropriately. Understand interdependencies across LOBs and support groups to achieve success in supporting remediation of regulatory, internal audit, and self-identified issues. Analyze, evaluate and periodically review current risk management practices relating to Fiduciary activities across the organization. Collaborate closely with colleagues across Risk, Compliance and Internal Audit to strengthen the control environment and enhance risk management practices. Monitor Fiduciary activities for adherence to CNB's policies and procedures, including ongoing review of Fiduciary committee charters and reporting. Analyze and evaluate data presented to Fiduciary committees to 1) identify reporting gaps and 2) ensure Fiduciary data accuracy and completeness, including data provided by applicable advisers/sub-advisers. Support development of reporting associated with Fiduciary activities to appropriate governance committees. Support execution of activities described in the Investment Management Policy, including adherence to related policies and procedures. Support audit and examination activities. WHAT DO YOU NEED TO SUCCEED? Required Qualifications Bachelor's Degree or equivalent Minimum 5 years within or related to financial services Additional Qualifications Knowledge of OCC Reg 9 5 years in a role requiring complex problem solving Investment product knowledge preferred Strong interpersonal and influencing skills - and ability to interact with colleagues at all levels in a peer-like way, and achieve goals without direct control over resources Strong emerging end-to-end generalist problem solving skills, e.g., defining and deconstructing problems, prioritizing issues and analysis, structuring and building quantitative and qualitative/conceptual analyses Demonstrated ability to influence change, build relationships, communicate effectively, work under pressure, manage multiple priorities and deliver high caliber results. Proficiency with MS Excel and PowerPoint Excellent time management, organizational, and prioritization skills and ability to balance multiple priorities. An outstanding ability to analyze problems, communicate effectively and confidently (both oral and written), work well in cross-functional teams Quick learning ability, outstanding analytical skills and a structured way of thinking, your attention to details is exceptional Operate well under stress, even faced with tight timelines for ambitious deliverables Excellent relationship and stakeholder management skills Be able to handle uncertainty well, and are able to simplify complexity WHAT'S IN IT FOR YOU? Compensation Starting base salary: $92,114 - $156,880 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date Generous 401(k) company matching contribution Career Development through Tuition Reimbursement and other internal upskilling and training resources Valued Time Away benefits including vacation, sick and volunteer time Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs Career Mobility support from a dedicated recruitment team Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks . ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us . INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.