Marcom Data Strategist, AI Program

Apple • Sunnyvale, CA

4d

About The Position

Marcom is Apple’s creatively led global team responsible for consumer-facing marketing and the development and execution of communications across media and platforms. The Marcom Data Strategy function defines the data architecture, governance standards, and measurement foundations that support global marketing decisions. It works across Analytics, Product Management, and Data Engineering, collaborating with Product Managers, Machine Learning Engineers, Analytics Leads, Data Governance, IS&T, and Legal/Privacy teams.

The Marcom Data Strategist will architect and maintain the unified data and insights foundation for Marcom’s artificial intelligence products and platforms. The role translates complex business and product requirements into reusable, governed data products and continuous feedback loops intended to improve AI model trust, relevance, and performance over time.

Requirements

• At least 7 years of experience in data strategy, data governance, data product management, or analytics strategy, with direct experience supporting data-intensive or AI/ML-driven products.
• Proven ability to translate complex business and product requirements into shared data definitions, unified schemas, and measurable quality criteria.
• Demonstrated experience partnering with analytics, data engineering, and product management teams to ship and scale production data products.
• Hands-on experience architecting and managing structured and unstructured data assets in digital marketing, consumer analytics, or machine learning ecosystems.
• Strong communication and alignment skills, including the ability to connect technical data engineering concepts with non-technical business and creative objectives.

Nice To Haves

• Hands-on experience designing and scaling reusable enterprise data products, including knowledge graphs, content libraries, semantic layers, taxonomies, or data catalogs.
• Direct experience supporting AI/ML applications such as personalized recommendation systems, content intelligence pipelines, generative AI workflows, or automated model evaluation frameworks.
• Expertise designing practical data operating models, including ownership charters, intake prioritization, stewardship programs, and recurring governance cadences.
• Experience building measurement loops and telemetry pipelines that translate real-world user interactions and performance signals into refined data structures and model inputs.
• Background navigating enterprise data privacy policies, licensing restrictions, copyright parameters, and data provenance frameworks.
• Familiarity with modern data stack tooling, vector databases, and semantic search architectures.

Responsibilities

• Architect and maintain the unified data and insights foundation supporting Marcom’s AI products and platforms.
• Translate complex business and product requirements into reusable, governed data products.
• Develop continuous feedback loops to improve AI model trust, relevance, and performance over time.

What This Job Offers

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