About The Position

The Senior AI Governance Manager owns Marcom’s global AI governance framework and ensures AI is adopted responsibly, ethically, and in accordance with Apple’s values and regulatory requirements. As Marcom’s central authority on AI risk and compliance, the role establishes how AI is evaluated, deployed, and monitored by Marcom teams worldwide. The position sits within Governance and Technology Operations (GTO), which safeguards Marcom’s people and work through governance and reliable technology and infrastructure. It reports to the head of GTO and partners with AI PMO, Legal, Privacy, Security, IS&T, Brand, Procurement, and other internal and external partners. The manager leads a cross-functional AI Governance group, maintains policies and review processes, assesses risks, and oversees governance reviews for AI tools, vendors, and pilots. The role also tracks emerging regulations and standards, develops documentation and training, reports governance metrics, and owns Marcom’s AI lab—a controlled environment for teams to experiment safely with frontier models and technologies before broader adoption.

Requirements

  • 10+ years of experience in technology governance, risk management, compliance, or policy development, focused on emerging technologies.
  • Experience building and running AI or generative AI governance frameworks at enterprise scale.
  • Working knowledge of AI and machine learning technologies sufficient to evaluate risks, assess tools, and engage credibly with technical teams.
  • Knowledge of data privacy regulations, cybersecurity practices, and responsible AI principles.
  • Ability to translate complex regulatory and ethical requirements into clear, practical policies for non-technical audiences and present them to executive leadership.
  • Advanced degree in Business, Computer Science, AI, Information Security, Public Policy, or a related field.

Nice To Haves

  • Familiarity with AI risk frameworks and standards such as the NIST AI RMF, ISO/IEC 42001, or the EU AI Act.
  • Experience governing AI in marketing, creative, or media environments.
  • Experience partnering with Legal, Privacy, and Procurement on technology vendor assessments and third-party tool evaluations.
  • Change management experience focused on policy adoption and building a compliance culture.
  • Familiarity with generative AI content issues such as intellectual property, talent likeness and consent, and content provenance.
  • Experience defining governance metrics and reporting risk posture to senior leadership.

Responsibilities

  • Own and evolve Marcom’s global AI governance framework, including policies, guidelines, review processes, and escalation paths.
  • Build and lead a cross-functional AI Governance group with leadership oversight.
  • Serve as Marcom’s main governance contact for Legal, Privacy, Security, IS&T, Procurement, Brand, PR, Product Marketing, Corporate Communications, and AI/ML teams.
  • Set and enforce governance principles for fairness, transparency, bias, privacy, security, and accountability, including rules for using Marcom data in AI training, fine-tuning, and inference.
  • Identify, assess, and reduce AI risks across Marcom, and maintain a risk register with owners and remediation timelines.
  • Conduct governance reviews of AI tool evaluations, vendor engagements, and pilots to ensure compliance requirements are met before deployment and inform tool adoption decisions.
  • Track emerging AI regulations and standards and update Marcom’s governance approach accordingly.
  • Create documentation, policies, and training covering approved use cases, decision frameworks, policy boundaries, and escalation procedures.
  • Define and report governance metrics, including policy adherence, review cycle times, exception volume, and resolution rates.
  • Partner with creative and production teams as they evaluate frontier AI technologies, incorporating governance into tool evaluations, vendor engagements, and pilots.
  • Own Marcom’s AI lab, a controlled space for safe experimentation with frontier models and technologies before broader adoption.
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