Marcom Data Strategist, AI Program

Marcom is the creatively-led global team that oversees Apples consumer facing marketing. We ensure the flawless development and execution of world-class communications across all medias and platforms. Every day hundreds of millions of Apple customers around the world interact with our products. We drive the strategy and creative work that provide both new and existing customers with simple engaging and inspiring marketing Marcom Data Strategy function defines the data architecture governance standards and measurement foundations that power global marketing decisions. Sitting at the nexus of Analytics Product Management and Data Engineering the team ensures all marketing intelligence systems run on unified high-integrity data assets. Key partners include Product Managers Machine Learning Engineers Analytics Leads Data Governance ISu0026T and Legal/Privacy teams.

This Marcom Data Strategist role will architect and maintain the unified data and insights spine powering Marcoms suite of artificial intelligence products and platforms. Additionally this role translates complex business and product requirements into reusable governed data products and continuous feedback loops that increase AI model trust relevance and performance over time.

Define and govern the overarching data strategy for Marcoms AI program specifying core data domains ownership boundaries standardized metadata definitions lineage tracking and data quality with Product Management Analytics and Data Engineering to design and deliver shared reusable data products (e.g. content repositories intelligence layers taxonomies and knowledge graphs) rather than one-off single-use ambiguous marketing research and product requirements into clear data specifications shared entity schemas and measurable quality and operationalize continuous evaluation and feedback loops that capture user engagement and model output telemetry converting signals into improved data structures and model as the core data strategy stakeholder in cross-functional forums with Legal Policy Privacy and ISu0026T to establish data rights access tiers provenance standards and usage constraints for AI training and data stewardship and intake cadences to transition disparate product-specific datasets into an integrated reusable data foundation across Marcom downstream data consumption and model accuracy metrics identifying data degradation risks and prioritizing remediation backlogs with engineering teams.

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 track record translating complex business and product requirements into shared data definitions unified schemas and measurable quality experience partnering cross-functionally with analytics data engineering and product management teams to ship and scale production data -on experience architecting and managing both structured and unstructured data assets within digital marketing consumer analytics or machine learning communication and alignment capabilities with a proven ability to bridge technical data engineering concepts with non-technical business and creative objectives.

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