AI Data Program Manager, Marcom

Apple • Sunnyvale, CA

4d

About The Position

Marcom is Apple’s creatively led global team responsible for consumer-facing marketing and communications across media and platforms. It is building an enterprise AI-powered intelligence platform to make consumer research, analytics, and marketing insights actionable and accessible across global teams. The organization works across creative strategy, machine learning engineering, and product operations to evolve conversational AI tools into shared enterprise intelligence services.

The AI Data Program Manager will drive the strategic roadmap, operational execution, and scaling of Marcom’s conversational AI platform into a shared enterprise intelligence service. The role partners with technical and business leaders to establish delivery cadences, governance frameworks, and adoption mechanisms that improve organizational productivity. Cross-functional collaborators include ML and Data Engineers, Analytics Leads, Researchers, Product Managers, and Creative teams.

Requirements

• 8+ years of technical program management, product operations, or related experience delivering complex software, data platform, or machine learning initiatives.
• Demonstrated track record leading cross-functional technical programs spanning engineering, data science, product, and non-technical business teams.
• Strong working knowledge of modern platform architectures, API-driven workflows, data pipelines, and scalable software delivery lifecycles.
• Proven ability to establish operating rhythms, clarify ownership, and drive cross-functional alignment in ambiguous, rapidly evolving technical environments.
• Demonstrated executive communication and stakeholder management skills, including the ability to translate complex technical constraints into actionable strategic decisions.

Nice To Haves

• Direct experience delivering applied AI, GenAI, or decision-support platforms, such as RAG, agentic orchestration, vector search, or automated LLM evaluation harnesses.
• Hands-on background with PaaS models, developer tooling, or shared enterprise services consumed by external technical teams.
• Domain knowledge in marketing analytics, consumer research insights, experimentation platforms, media optimization, or MarTech stacks.
• Deep familiarity with enterprise data governance, source attribution and provenance protocols, and corporate data privacy standards.
• Experience defining user onboarding funnels and developer experience frameworks for internal APIs and shared microservices.
• Track record of building quantifiable business-case frameworks and measurement dashboards for emerging technology programs.

Responsibilities

• Manage the multi-phase roadmap for transitioning an internal conversational AI tool into a shared enterprise intelligence platform serving multiple Marcom applications and automated workflows.
• Establish operating cadences, dependency tracking, and cross-functional decision-making forums across engineering, product management, analytics, consumer research, design, and creative teams.
• Define and operationalize standardized data intake pipelines and frameworks for repeatedly ingesting market research, telemetry, and domain knowledge.
• Partner with ML and Data Engineering teams to establish and enforce standards for retrieval grounding, vector search, data provenance, privacy compliance, and model-output evaluation.
• Define, instrument, and track program-level KPIs for system reliability, user adoption velocity, and measurable organizational productivity gains.
• Establish evaluation harnesses to benchmark output accuracy and citation integrity, helping ensure platform outputs are defensible and trusted by executive creative and analytics leaders.
• Identify operational bottlenecks and technical risks across work streams, and drive mitigation plans and alignment without direct hierarchical authority.

What This Job Offers

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