Director of Global AI Governance & Responsible Data

Cencora, Inc.; Concord (NH); Hybrid; USD 119,000 - 187,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision care

Paid parental leave

Mentorship programs

Job summary

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

This strategic role balances global consistency with local regulatory needs while driving efficiency and risk management across the AI lifecycle. The candidate will collaborate across technology, cyber, HR, legal, and data governance teams, implementing frameworks, improving processes, and guiding cross-functional stakeholders in a matrix organization.

Qualifications

• Proven experience in privacy compliance matters with technology transactions and information security.
• Hands-on experience in AI governance frameworks and data governance in healthcare settings.
• Ability to influence stakeholders in a matrix organization.

Responsibilities

• Lead the implementation of the global Responsible AI Framework and ensure regulatory alignment.
• Design and evolve AI governance components to meet business challenges.
• Ensure AI lifecycle governance, data quality, and data rights across solutions.
• Educate and partner with stakeholders to promote Responsible AI governance practices.
• Coordinate AI governance initiatives with legal, HR, data governance, and technical teams.

Skills

AI governance

privacy governance

data governance

cross-functional leadership

Education

BA/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.

This strategic role balances global consistency with local regulatory needs while driving efficiency and risk management across the AI lifecycle. The candidate will collaborate across technology, cyber, HR, legal, and data governance teams, implementing frameworks, improving processes, and guiding cross-functional stakeholders in a matrix organization.