Senior Data Governance Manager, Marcom

Apple • Sunnyvale, CA

1d

About The Position

The Senior Data Governance Manager owns Marcom’s data governance strategy and infrastructure, ensuring that data used by AI tools, models, and workflows is classified, protected, appropriately accessible, and reliable for decision-making. The role charts the path toward a centralized data lake where Marcom’s data is managed, cataloged, and governed in one place.

Marcom is Apple’s creatively led global team overseeing consumer-facing marketing and the development and execution of communications across media and platforms. The Governance and Technology Operations team establishes governance frameworks and operates the technology and infrastructure Marcom relies on. It covers AI, tools, vendor, and data governance, as well as Marcom Security and Marcom IT, and is building a Center of Excellence to centralize expertise, standardize practices, reduce risk, and continuously improve operations.

The position reports to the head of Governance and Technology Operations and partners closely with IS&T, Procurement, and Security.

Requirements

• 10+ years of experience in data governance, data architecture, data management, or a related discipline, including leadership of programs at scale.
• Track record of building and operationalizing data governance frameworks, including data quality management, metadata management, and access control.
• Experience defining data classification, lineage, and access control policies across complex organizations.
• Experience with role-based, attribute-based, or equivalent access models for data with tiered confidentiality.
• Working knowledge of data architecture patterns, including data lakes, warehouses, and pipelines, and how they support AI and machine learning workloads.
• Experience designing or governing centralized data platforms with API-based integration patterns.
• Understanding of role-based and attribute-based access control models in environments with tiered confidentiality or disclosure requirements.

Nice To Haves

• Demonstrated ability to influence and align senior stakeholders and explain data concepts in business terms to non-technical audiences.
• Experience governing data that feeds AI and machine learning systems, including training data quality, bias detection, and data provenance.
• Background working alongside data science teams and understanding their data needs, with a focus on governance that enables rather than slows their work.
• Familiarity with data catalog and metadata management tools, cloud data platforms, modern data stack technologies, and automated data validation approaches.
• Familiarity with API gateway patterns and emerging AI integration approaches such as MCP.
• Experience in marketing, creative, or media environments, including understanding campaign data, creative assets, and audience data, where data sensitivity and pre-announcement confidentiality are critical.
• Knowledge of data quality frameworks and automated data validation approaches.

Responsibilities

• Own Marcom’s data governance strategy and infrastructure.
• Ensure data powering AI tools, models, and workflows is classified, protected, accessible to the appropriate people, and reliable enough to support decisions.
• Chart the path toward a centralized data lake in which Marcom’s data is managed, cataloged, and governed in one place.
• Build and operationalize data governance frameworks, including data quality management, metadata management, and access control.
• Define data classification, lineage, and access control policies across complex organizations, including controls for data with tiered confidentiality.
• Govern centralized data platforms and API-based integration patterns.
• Support governance of data used by AI and machine learning systems, including training data quality, bias detection, and data provenance.
• Align senior stakeholders and explain data concepts in business terms to non-technical audiences.
• Enable data science teams’ work through effective data governance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed