Data Governance Program Manager

Data Governance Program Manager Bryan Health United States, Nebraska, Lincoln 1600 South 48th Street (Show on map) May 12, 2026

GENERAL SUMMARY:

Responsible for the establishment and maintenance of Bryan Health data and AI governance program and infrastructure. As the organization's data and AI governance champion, collaborates with leaders and data stewards across Bryan Health to develop, implement, and execute the organization's data and AI governance strategies, policies, and procedures and serves as the technical expert in the quality of foundational data supporting operations, analytics, and AI. As a critical part of Bryan's Data Analytics Center of Excellence, recommends data and AI governance policies to entity governance for review and approval, while working with Data Analytics, IT and key business units to constantly improve data definitions, integrity, security, and reliability, ensuring high-quality inputs for analytics and AI models. Additionally, the Data Governance Program Manager works closely with Data Engineering and Analytics to embed governance principles into data source architecture and maintenance.

PRINCIPAL JOB FUNCTIONS

1.

• Commits to the mission, vision, beliefs and consistently demonstrates our core values. 2.
• Participates in or supports work stream planning process. 3.
• Effectively communicates with executive sponsors, project advocates, leaders, and data stewards to help them understand and apply policy and principles of data and AI governance while ensuring that deliverables meet business requirements. 4.
• Develops and plays a hands-on role in operationalizing an organization-wide data and AI governance strategy, framework and roadmap that aligns with the organization's overall data, analytics, AI, and data security strategy. 5.
• Defines and enforces data standards, data classification, and data protection guidelines to ensure consistent and reliable data across systems, processes, and business units. 6. Translates Data and AI governance policies and standards into actionable strategies and implementable solutions, ensuring practical application and demonstratable impact on data reliability. 7.
• Develops and implements policies and standards for managing data used in AI models to ensure quality, security, privacy, and compliance with relevant regulations. 8.
• Collaborates with business stakeholders, data owners and data stewards to establish data and AI governance roles, responsibilities, and accountabilities within the organization. 9.
• Collaborates with Data Science and AI/ML teams to ensure the reliability of data used in AI training, validation, and deployment. 10. Aligns data governance policies with AI development lifecycle, ensuring proper data stewardship and governance throughout the AI project lifecycle. 11.
• Conducts assessments to identify data issues, gaps, and opportunities for improvement, using SQL, scripting, and analytics tools to analyze data quality and validate adherence to governance standards. 12.
• Provides guidance and training to business users and data stewards on data and AI governance policies, procedures, and best practices. 13. Leads data fluency initiatives by applying strong analytical skills and delivering clear, effective coaching that builds staff confidence in using data. 14.
• Collaborates with Data Council, Advisory Teams, and other governance groups for program oversight and issue resolution.

15. Identifies and mitigates risks related to AI data, including bias, fairness, and privacy concerns, to support responsible AI practices. 16. Works closely with Data Analytics and IT to design and implement data governance tools, technologies, and platforms to provide data quality checks, data cataloging, and data lineage tracking. 17. Stays up to date with AI and data governance industry trends, emerging technologies, regulatory changes, and standards around the evolving legal, ethical, and technological standards related to AI and data governance, and proactively recommends improvements and enhancements to governance frameworks. 18. Ensures that data used in AI systems complies with data privacy laws and organizational policies and maintains auditability of AI data pipelines. 19. Engages and advises the Bryan Data Council on project prioritization and other agenda items as needed. 20. Develops effective collaborative relationships with stakeholders across the Bryan Health System. 21. Works with executive sponsors and project advocates to ensure products meet business requirements. 22. Collaborates with other teams and leaders to ensure resources and priorities align with Data Council guidance. 23. Establishes effective relationships with clients and provides leadership for all data and AI governance at Bryan. 24. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest the latest trends in field of expertise. Keeps abreast of industry news and trends. 25. Effectively facilitates and participates on multi-disciplinary teams; attends and participates in project meetings and activities. 26. Performs other related projects and duties as assigned. (Essential Job functions are marked with an asterisk "

• ").

REQUIRED KNOWLEDGE, SKILLS AND ABILITIES

1. Expert knowledge and hands-on experience with principles of data governance and data governance program design. 2. Expert knowledge in defining and implementing data quality rules and metric definition cataloging. 3. Knowledge of AI and AI governance. 4. Knowledge of health care market and industry trends. 5. Knowledge of databases, data structures, data lineage and data usage. 6. Knowledge of computer hardware equipment and software applications relevant to work functions. 7. Excellent problem solving and process improvement skills. 8. Excellent communication skills and ability to explain the strategic value of data integrity, governance, and stewardship to both technical and business stakeholders. 9. Strong ability in program and project management. 10. Strong ability to perform data validation and quality assurance processes. 11. Proficient with common analytics, reporting and visualization tools and methods (including SQL, Power BI, Python, Excel) 12. Ability to perform crucial conversations with desired outcomes. 13. Ability to communicate effectively both verbally and in writing. 14. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff. 15. Ability to effectively interact with clients that have a broad range of computer knowledge and ability. 16. Ability to plan for and act on changes in the business and market environment that impact current business plans and processes. 17. Ability to problem solve and engage independent critical thinking skills. 18. Ability to prioritize work demands and work with minimal supervision. 19. Ability to maintain confidentiality relevant to sensitive information. 20. Ability to maintain regular and punctual attendance.

EDUCATION AND EXPERIENCE

Bachelor's degree in Data Science, Data Management, Analytics, Computer Science, Public Health, Hospital Administration, Business, or related field required. Master's degree preferred. Five (5) years of related work experience including writing complex queries with Microsoft SQL Server required. Prior project leadership experience (formal or informal) required. Prior data governance experience required. Prior Epic experience preferred.

OTHER CREDENTIALS / CERTIFICATIONS

Epic Cogito Fundamentals and Cogito Project Manager certification preferred. Epic certification in Cogito Fundamentals and Cogito Project Manager required within six (6) months of hire.

PHYSICAL REQUIREMENTS

(Physical Requirements are based on federal criteria and assigned by Human Resources upon review of the Principal Job Functions.) (DOT) Characterized as sedentary work requiring exertion of up to 10 pounds of force occasionally and/or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body.