Senior Director Of Data And Ai Governance

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.
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Job Summary:

• Penn Medicine is seeking a highly experienced Senior Director of Data & AI Governance to join our dynamic Data and Analytics team, Penn DnA. In this highly visible role, you will work with Penn Medicine's technical leaders and experts to develop a vision for Data and AI governance. You will be responsible for developing consensus and executing against the vision. The Senior Director of Data & AI Governance will oversee a small team to ensure the appropriate and ethical use of Data and to promote responsible AI development, use, and monitoring.
• At Penn Medicine, our mission is to advance the health and well-being of the communities we serve through integrated clinical care, education, and research. We are committed to delivering the highest quality of care and driving innovation to improve patient outcomes. As the Senior Director of Data & AI Governance, you will align your efforts with the Penn Medicine mission and work towards fulfilling our vision.

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.

Education/Experience Qualifications:

• Bachelor's degree (Required).
• Master's degree (Preferred).
• Minimum of 10 years of experience in data governance, AI governance, data management, ML development or related roles in the health care industry (Required).

Skills & Abilities:

• Demonstrated expertise in data governance frameworks, data quality principles, data privacy regulations, and AI ethics.
• Deep understanding of health care data, including EMR systems, particularly Epic, and their integration within healthcare operations.
• Demonstrated expertise leading teams, fostering a positive work culture of innovation and continuous improvement.
• Experience working across functional areas.
• Excellent communication and stakeholder engagement skills.
• Strong analytical and problem-solving abilities.
• Project management experience and the ability to manage multiple initiatives simultaneously.

If you are a motivated leader with a passion for leveraging data to improve health care, make strategic decisions, and drive groundbreaking research, we invite you to apply for the position of Senior Director of Data & AI Governance at the University of Pennsylvania Health System.
To apply, please submit your application, including a cover letter and resume, through our online application portal. We look forward to considering your candidacy.
We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
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We are an Equal Opportunity and Affirmative Action employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.