DirectJobHub
Jobs · Management

AI Governance Operations Lead Director - RAIB

McKesson · Illinois, United States · 1 wk ago
RemoteRemoteManagement$153k–$255k/yrFull-time

Role Summary

Are you passionate about ensuring AI is deployed responsibly, ethically, and at scale? Join McKesson as an AI Governance Operations Lead (Director), where you will play a critical role in operationalizing enterprise-wide AI governance and driving responsible AI adoption across business units.

Key Responsibilities

  • Manage the Enterprise Intake Process: maintain central intake form and routing process to ensure process reliability

  • Maintain, update, and implement enterprise AI Governance standards, taxonomies, definitions and risk-classification logic as the EAIC continues to develop them.

  • Ensure alignment between AI governance standards and broader enterprise policies

  • Support Appropriate Routing Intake & Quality of Submissions by validating intake submissions for completeness and ensure proper routing.

  • Manage enterprise-level exception requests and coordinate routing for EAIC level escalation.

  • Implement EAIC directed process updates; ensure required adjustments to intake logic, workflow, dashboards etc. as directed by the EAIC

  • Ensuring Operational Reliability: identify, diagnose and resolve technical failures to support consistent governance processes

  • Conduct trend analysis on AI use case submissions, risk tiers, model types, vendor maturity and recurring issues

  • Identify systemic risks, gaps or repeated exceptions across RAIBs and escalate them to the EAIC

  • Maintain repository of approved/flagged AI vendors and relevant risk data

  • Support EAIC monitoring function by creating enterprise reports, risk trend summaries, and thematic insights.

  • Maintain dashboards and workflow visibility for RAIB and EAIC leadership, including status updates, approval milestones, and escalations requested by your applicable RAIB

  • Coordinate with RAIB leaders, other RAIB Operations Leads, and subject matter experts to ensure coordination and communication across AI Governance landscape.

  • Develop and maintain training materials, playbooks and guidance for business submitters and RAIB participants as needed.

  • Create and update role-based training for RAIB members, SMEs and PMOs

  • Deliver or coordinate training or office hours to business teams to ensure intake quality and adoption of governance processes

  • Actively participate in the RAIB Operations/Lead community of practice to align processes, develop best practices, and trouble-shoot new and emerging challenges to the AI governance process

  • Partner with Legal, Compliance, Cybersecurity, Procurement, and other stakeholder teams to socialize governance practices and educate employees who utilize your respective RAIB process

Minimum Requirements

  • Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience.

  • Proven experience designing, implementing, and scaling compliance programs for technology organizations

  • Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow.

  • AI/ML Technical Fluency: Understanding of AI/ML lifecycle, model validation, monitoring, and documentation.

  • Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc)

  • Knowledge of model risk management frameworks and risk‑tiering logic.

  • Ability to influence senior stakeholders (VP/EVP level) across business units.

  • Strong change‑leadership skills to drive adoption of governance processes.

Critical Skills

  • Proven experience designing, implementing, and scaling compliance programs for technology organizations

  • Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow.

  • AI/ML Technical Fluency: Understanding of AI/ML lifecycle, model validation, monitoring, and documentation.

  • Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc)

  • Knowledge of model risk management frameworks and risk‑tiering logic.

  • Ability to influence senior stakeholders (VP/EVP level) across business units.

  • Strong change‑leadership skills to drive adoption of governance processes.

Pay Range

$152,800 - $254,600

Similar jobs