Data Governance Manager

Apple • San Diego, CA

1d

About The Position

Apple’s Places Operations Team is seeking an experienced, collaborative, self-driven Data Governance Manager to develop a data governance and data quality foundation across multiple Business Units (BUs) within the Places organization, supporting its broader AI transformation strategy. The role focuses on strategy definition, process optimization, large-scale cross-functional coordination, and execution.

The manager will establish and execute a Places-wide governance and quality strategy, turning fragmented spatial and location data into trusted, high-integrity assets suitable for analytics and AI ingestion. They will define scalable BU-level quality standards and work with engineering and product teams to implement a unified enterprise data glossary. The role will also create systems for ongoing monitoring of data integrity, quality, and access controls, and develop governance playbooks that clarify responsibilities and embed standards throughout project planning, execution, and delivery.

The position partners with Business Units, PMO, Engineering, and other stakeholders to identify data challenges, align priorities, and manage program delivery, schedules, and risks. Its work supports trusted insights for strategic planning, operational excellence, and long-term portfolio decisions.

Requirements

• 10–15+ years of experience in data analytics, enterprise data strategy, and execution.
• 3+ years of specialized experience in data governance, data quality frameworks, and AI-readiness transformation.
• Proven track record of leading complex, cross-functional initiatives within large-scale organizations.
• Hands-on experience guiding Generative AI adoption and establishing enterprise data foundations while enforcing security, compliance, and responsible AI practices.
• Robust program management capabilities, including risk management, prioritization, and coordination of multiple concurrent, high-visibility workstreams.
• Exceptional communication and stakeholder management skills, including the ability to translate complex technical data and AI architectures into clear business outcomes for leadership.
• Demonstrated success leading digital transformations, data platform modernizations, and scalable governance workflows.
• Degree or certification in Business Analytics, Data Science, or an equivalent data discipline.
• Experience partnering closely with Engineering teams to operationalize governance through technology and platforms.
• Strong program management skills, including dependency management and risk mitigation.
• Ability to balance strategic thinking with hands-on leadership and execution.
• Critical and creative approach to improving processes and operations.
• Collaborative approach and ability to thrive in ambiguity.

Responsibilities

• Establish and execute a Places-wide data governance and quality strategy across multiple Business Units.
• Transform fragmented spatial and location data into trusted, high-integrity assets optimized for analytics and AI ingestion.
• Define scalable data quality standards at the Business Unit level.
• Partner with engineering and product teams to implement and operationalize a unified enterprise-wide data glossary.
• Create proactive systems to monitor data integrity, data quality, and access controls, working with engineering partners on technical execution.
• Author and implement governance playbooks that define roles and responsibilities across teams.
• Embed data governance standards into end-to-end project planning, execution, and delivery.
• Build and maintain partnerships across Business Units, PMO, and Engineering to identify data challenges and align priorities.
• Manage day-to-day program delivery, schedules, prioritization, dependencies, and risk mitigation across concurrent workstreams.
• Guide Generative AI adoption and establish enterprise data foundations while enforcing security, compliance, and responsible AI practices.
• Lead digital transformations, data platform modernizations, and scalable governance workflows.
• Regularly improve processes and operations.

What This Job Offers

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