Senior Director of Data and AI Governance; Mid & Senior Level

Position: Senior Director of Data and AI Governance (Mid & Senior Level)
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.

Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?

Entity - Corporate

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,…