Director - AI Operations

Cencora•USA > PA > Remote, MA
•$119,100 - $186,560

About The Position

The Director of AI Governance and Responsible Data Practices leads the implementation and evolution of Cencora’s global AI, Privacy, and Responsible Data Governance Frameworks. The role balances a cohesive global framework with local regulatory and business-specific requirements, ensuring compliance with evolving AI-related regulations while driving operational efficiencies. It works across technology, cyber, HR, legal, and data governance teams to develop and operationalize AI lifecycle risk-management processes and advance enterprise value and risk-management priorities. The successful candidate has hands-on experience with AI governance frameworks, privacy compliance, and data governance, particularly in healthcare and health-data environments. They have demonstrated success implementing frameworks, creating efficient processes, and influencing cross-functional stakeholders in a matrix organization. The position provides leadership to managers and professional staff, coordinates complex activities across work areas, and drives improvements to processes and practices that strengthen performance and compliance in AI governance and privacy.

Requirements

  • BA or BS in Business or a related field.
  • Extensive experience in privacy, data governance, or AI governance.
  • Extensive progressively responsible and directly related experience in privacy compliance, including technology transactions and Information Security/Data Protection.
  • Demonstrated success implementing compliance or risk-management frameworks and processes.
  • Experience in healthcare or pharmaceutical policy environments, particularly involving health data.
  • Track record managing initiatives in a matrix organization and driving cross-functional collaboration.
  • Experience working with multinational and/or global clients and providing guidance, advice, and counsel across multiple jurisdictions.
  • Deep knowledge of AI governance frameworks, privacy regulations, and data governance best practices.
  • Ability to evaluate complex issues, develop innovative solutions, and implement effective processes.
  • Strategic mindset focused on operational efficiency and long-term organizational goals.
  • Ability to manage competing priorities in a fast-paced corporate environment.
  • Experience developing tactical and operational plans aligned with organizational objectives.
  • Strategic planning and leadership skills, including the ability to motivate and influence associates at all levels to comply with regulatory standards.
  • Excellent analytical, problem-solving, and negotiating skills, and ability to present information effectively and respond to questions from managers, employees, and business-unit representatives.
  • Strong knowledge of project management techniques and best-practice process reengineering, with experience in compliance processes.
  • Solution-oriented approach and ability to work with the business to find solutions.
  • Ability to deliver in a complex, matrixed organization.
  • Team-player approach.

Responsibilities

  • Lead implementation of Cencora’s global Responsible AI Framework while balancing global consistency with local regulatory requirements.
  • Design and evolve Responsible AI Framework components in response to business challenges and regulatory needs.
  • Ensure efficient management, continuous evolution, and regulatory compliance of Responsible AI frameworks throughout the AI lifecycle.
  • Partner with the data governance team to establish processes ensuring AI solution data is high quality, has clear lineage, and adheres to data rights.
  • Educate stakeholders across the organization and foster a culture of Responsible AI Governance.
  • Align AI strategy and privacy requirements with stakeholders across technology, HR, legal, and data governance teams.
  • Operationalize and lead AI Centre of Excellence (AI COE) meetings, aligning priorities, deliverables, and governance strategies.
  • Partner with legal and other stakeholders to build and support frameworks for data regulations and AI governance, anticipating changes in the external landscape.
  • Develop tactical and operational plans, prioritize high-value and efficiency-building activities, and appropriately allocate resources and budget.
  • Advance enterprise value and risk-management priorities to maintain compliance with customer and regulatory requirements.
  • Use data insights to highlight best practices, identify efficiencies, and find opportunities to improve AI governance and privacy practices.
  • Lead, guide, and mentor direct reports and ensure alignment with established policies.
  • Coordinate complex activities across work areas and oversee results, including cost, methods, and staffing.
  • Identify and resolve operational challenges and provide strategic solutions to senior management regarding policies and processes.
  • Drive improvements to processes, systems, and practices that enhance performance and compliance in privacy and AI governance.

Benefits

  • Medical, dental, and vision care.
  • Backup dependent care may be available as family support.
  • Adoption assistance.
  • Infertility coverage and family-building support.
  • Behavioral health solutions.
  • Paid parental leave.
  • Paid caregiver leave.
  • Training programs and professional development resources.
  • Mentorship programs.
  • Employee resource groups.
  • Volunteer activities.
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