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Apple

# Marcom Data Strategist, AI Program

Sunnyvale, United States of America Data & Analytics 

Listed on Apple’s official careers site. Posted October 30, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200692277/marcom-data-strategist-ai-program)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Marcom Data Strategist, AI Program

## Job description

Marcom is the creatively-led global team that oversees Apple’s 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 experiences.

The 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, IS&T, and Legal/Privacy teams.

## At a glance
- Posted by the employer: Oct 30, 2026
- First seen by OpenNash: Nov 1, 2026
- Last checked: Nov 1, 2026
- Listed for: 2 days
- Location: Sunnyvale, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200692277/marcom-data-strategist-ai-program)

## Hiring at Apple
- Open jobs: 6,319
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All Apple jobs](https://jobs.opennash.com/companies/apple/) · [Weekly hiring report](/reports/hiring/)

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OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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