Director, AI Governance & Responsible Data

Cencora, Inc.; Columbus (OH); On-site; USD 119,000 - 187,000; Full time

Job summary

Cencora, Inc. is seeking a Director of AI Governance and Responsible Data Practices to lead global AI, privacy, and data governance frameworks. You will balance global cohesion with local regulatory needs while driving risk management and enterprise value.

The ideal candidate brings hands-on experience in AI governance, privacy compliance, and healthcare data environments, with a track record in implementing frameworks and influencing cross-functional stakeholders in a matrix organization.

Qualifications

• Hands-on experience in AI governance and privacy compliance.
• Proven experience implementing frameworks in healthcare or health data environments.
• Experience driving cross-functional collaboration in a matrix organization.
• Background in healthcare or pharmaceutical policy environments, with health data knowledge.

Responsibilities

• Lead the global Responsible AI Framework implementation balancing global consistency with local requirements.
• Design components of the Responsible AI Framework to meet regulatory needs.
• Ensure efficient management, evolution, and compliance of AI frameworks across the lifecycle.
• Partner with data governance to ensure data quality and clear lineage for AI solutions.
• Educate stakeholders on Responsible AI governance and best practices.
• Align AI strategy with privacy requirements across technology, HR, legal, and governance teams.
• Lead AI COE meetings and coordinate priorities, deliverables, and governance strategies.

Skills

AI governance

Privacy regulations

Data governance

Cross-functional leadership

Stakeholder management

Regulatory compliance

Education

BA or BS in Business or related field

Job description

Cencora, Inc. is seeking a Director of AI Governance and Responsible Data Practices to lead global AI, privacy, and data governance frameworks. You will balance global cohesion with local regulatory needs while driving risk management and enterprise value.

The ideal candidate brings hands-on experience in AI governance, privacy compliance, and healthcare data environments, with a track record in implementing frameworks and influencing cross-functional stakeholders in a matrix organization.