Director, Global AI Governance & Responsible Data

Cencora, Inc.; Georgia; On-site; USD 119,000 - 187,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision care

Parental leave

Professional development

Mentorship programs

Volunteer activities

Job summary

Cencora, Inc. is seeking a Director of AI Governance and Responsible Data Practices to lead the global AI, privacy, and data governance frameworks.

The role requires coordinating across technology, legal, HR, and data governance to ensure robust AI risk management and regulatory compliance, while delivering enterprise value. The ideal candidate has hands-on experience in AI governance, privacy compliance, and healthcare data environments, and can influence stakeholders in a matrix organization

Qualifications

• BA/BS in business or related field.
• Significant experience in privacy, data governance, or AI governance.
• Proven experience implementing compliance or risk management frameworks.
• Experience in healthcare or health data environments.

Responsibilities

• Lead the implementation of the global Responsible AI Framework.
• Evolve components to meet regulatory needs and business challenges.
• Ensure efficient management and regulatory compliance throughout the AI lifecycle.
• Partner with data governance to ensure high-quality data with clear lineage and rights.
• Educate stakeholders on Responsible AI governance and best practices.
• Coordinate cross-functional teams to align AI strategy with privacy requirements.

Skills

AI governance

Privacy compliance

Data governance

Cross-functional collaboration

Regulatory awareness

Healthcare data

Education

Bachelor's degree in Business or related field

Job description

Cencora, Inc. is seeking a Director of AI Governance and Responsible Data Practices to lead the global AI, privacy, and data governance frameworks.

The role requires coordinating across technology, legal, HR, and data governance to ensure robust AI risk management and regulatory compliance, while delivering enterprise value. The ideal candidate has hands-on experience in AI governance, privacy compliance, and healthcare data environments, and can influence stakeholders in a matrix organization