Senior Director of Data and AI Governance (Mid & Senior Level)

Department - Penn Data and Analytics Leadership

Location - 3600 Civic Center Blvd. Philadelphia, PA

Hours - 8:00AM-5:00PM, M-F | Hybrid

Senior Director of Data and AI Governance

Summary:

The Senior Director of Data & AI Governance will hold a highly-visible role working with Penn Medicine's technical leaders and experts to develop a vision for data and AI governance. This person will be responsible for developing consensus and executing against the vision. They will oversee a small team to ensure the appropriate and ethical use of data and to promote responsible AI development, use, and monitoring. 

Responsibilities:

Data & AI Governance Strategy:

• Collaborate with business, technical, clinical, and legal experts, to develop and implement a comprehensive data and AI governance strategy that aligns with the organization's mission and strategic goals. Continuously evaluate and enhance governance practices to adapt to evolving business needs and technology advancements.
• Governance Committee Management: Manage Data and AI Governance Committees and sub-committees. Create and refine structures, such as committee charters and documentation, to ensure efficient decision-making and effective oversight.
• Drive decision-making: Equip governance committee members with the tools and information that they need. Create frameworks and drive consensus building to ensure timely well-informed decision-making.
• Execution: Take governance committee decisions, translate them into projects and work plans, and ensure their implementation.
• Initiative: Take ownership of hands-on governance work, acting as an individual contributor, when necessary, to ensure the successful development and implementation of data policies, standards, and issues. 

Facilitate Policy Development and Oversee Execution:

• Key policy areas include: data quality management, data privacy and security, AI evaluation and oversight, AI ethics, data and AI stewardship, data & AI catalog and metadata management, and vendor and third-party oversight.
• Thought Partnership: Stay abreast of industry trends, best practices, and regulatory changes. Recommend initiatives to enhance the organization's data and AI governance maturity.
• Relationship Building: Establish credibility and trust with the Chief Information Security Officer, Chief Privacy Officer, CMIO, Office of Clinical Research, and faculty experts from across the University among other stakeholders.
• Facilitate Decision-Making: Define policy decisions to be made, identify relevant stakeholders and their roles in decision-making, ensure a shared understanding of the issues, and hold group accountable for timely decisions. Promote collaboration and drive consensus.
• Oversee Execution: Monitor the implementation of data and AI policies to ensure compliance and help troubleshoot, as needed.
• Reporting and Monitoring: Create and maintain dashboards and reports that provide visibility into data and AI governance metrics and progress to senior leadership and stakeholders.

 Leadership:

• People Management: Lead and develop a high-performing data governance team, fostering a positive work culture and innovative environment that attracts and retains top talent.
• Stakeholder Education and Training: Develop and deliver training programs to a variety of audiences on data and AI governance, data quality, data privacy, and AI ethics. Educate stakeholders about AI, including the limitations and risks associated with health AI solutions.

•  Performs duties in accordance with Penn Medicine and entity values, policies, and procedures
• Other duties as assigned to support the unit, department, entity, and health system organization

Education or Equivalent Experience:

• Bachelor's degree. (Required)
• 7+ years of progressively responsible experience in data governance, AI governance, data management, ML development or related roles in the health care industry. Experience managing teams and large complex cross-functional projects. (Required)
• Master's degree (Preferred)

Skills/Abilities:

• Demonstrated expertise in data governance frameworks, data quality principles, data privacy regulations, and AI ethics. Applies knowledge to identify opportunities and develop solutions. 
• Deep understanding of health care data, including EMR systems, particularly Epic, and their integration within healthcare operations. 
• Demonstrated performance developing high-performing teams, fostering a positive culture of continuous improvement. Fosters team and organizational learning by focusing on learning from successes and mistakes in non-judgmental manners.
• Demonstrated interpersonal, verbal, and written communication skills. Ability to work with a diversity of stakeholders, including senior leaders. 
• Strong analytical and problem-solving abilities. 
• Project management skills and the ability to manage multiple initiatives simultaneously.