Senior AI Data Science Program Manager

Sunnyvale, California, United States Marketing

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 Science team handles Analytics for all of Apple’s outbound marketing communications. We’re a dynamic, innovative team that offers excellent opportunities to learn and run Analytics at scale while working with some of the industry’s finest creative minds. It’s an outstanding team and a truly unique opportunity to shape how Marcom thinks about data and insights in the AI era.

This position works with advanced machine learning and AI to personalize interactions, optimize marketing performance, and improve customer experiences across all channels. This role is at the intersection of data science, AI, and customer experience, partnering with Interactive, Strategy, and Data Engineering teams to explore new opportunities, build scalable models, and introduce innovative AI solutions into Apple's marketing ecosystem.

• Collaborate with cross-functional teams (Interactive, Strategy, Data Engineering) to translate business needs into data-driven solutions. Translate technical insights into clear, human-centered stories that resonate with decision-makers.
• Oversee development, testing, and deployment of machine learning and AI models to support marketing analytics, personalization, and optimization initiatives.
• Deliver clear, actionable insights that directly guide marketing strategy.
• Design experiments, analyze outcomes, and deliver actionable insights that shape marketing strategies and execution.
• Contribute to Apple’s AI innovation by identifying emerging techniques and applying them to real-world challenges in marketing and digital experience.
• Emphasis on analytics for evolving aspects of AI such as Generative Engine Optimization and AI Optimization for our key web properties and Advertising campaigns. Drive usage of such strategies to strengthen Apple’s brand presence in AI-driven environments.
• Design measurement frameworks that assess the impact of marketing campaigns, channels, and customer journeys. Compare the effectiveness of AI-driven marketing approaches with traditional methods, finding opportunities for stronger customer experiences and business outcomes.
• Champion innovation by identifying new ways AI can elevate Apple’s marketing.

• 10 or more years of experience in analytics, data science, or related fields, in role(s) tied to driving impactful results in marketing or business growth.
• Skilled in Program Management in the Machine Learning and AI arena.
• Proficient in statistical modeling, experimental design, and data analysis.
• Experienced in working with large datasets in Snowflake, SQL and Tableau.

• Excellent communication and storytelling skills with the ability to translate data insights to clear business and customer impact.
• Experience in a large technology company or similarly complex, global environment.
• Familiarity with cloud data platforms (e.g., Databricks, AWS, GCP).
• Exposure to additional BI or visualization tools beyond Tableau (e.g., Looker, Power BI).
• Experience designing and analyzing experiments in digital marketing environments.
• Knowledge of CRM and lifecycle marketing analytics.
• Strong presentation skills, including delivering insights to senior stakeholders.
• Proficient in Python (or equivalent language) with experience using ML/AI libraries and frameworks (e.g., scikit-learn, PyTorch, Tensor Flow).

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $203,300 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.

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