Engineering Program Manager

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers. ## Description We’re looking for an Engineering Program Manager with strong execution, communication, and technical program management skills to help scale AI-enabled insights generation and data operations. You’ll be responsible for coordinating cross-functional work across engineering, data science, analytics, and business teams to ensure insights are accurate, actionable, operationally reliable, and embedded into real-world sales workflows. ## Responsibilities Own the execution plan for insights generation and data operations workstreams, ensuring priorities, timelines, owners, dependencies, and risks are clearly managed. Coordinate the end-to-end delivery cycle for insights, from business requirement gathering to data readiness, QA, stakeholder review, publishing, and post-launch monitoring. Help establish repeatable operating processes for how insights are requested, built, validated, released, monitored, and improved over time. Track and unblock dependencies across data sources, pipelines, semantic layers, AI-generated outputs, and downstream business workflows. Support launch readiness by making sure data quality, business logic, access, documentation, support plans, and stakeholder communications are in place. Communicate status, risks, tradeoffs, and decisions clearly to engineering leads, business partners, and senior leadership. ## Minimum qualifications 8+ years of experience in engineering program management, data program management, analytics operations, or a related role supporting data, analytics, AI, or enterprise software teams. Hands-on experience in data science or data engineering, where you’ve shipped pipelines, models or production analytics. We’re looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment. Experience driving cross-functional data or analytics programs from planning through execution, including roadmap tracking, milestone management, dependency coordination, risk management, and stakeholder communication. Strong understanding of data operations workflows, including data ingestion, data quality checks, business logic validation, reporting cycles, issue triage, and operational support. Ability to partner with engineering, data science, analytics, product, business operations, and sales operations teams to translate business needs into clear execution plans. Strong ability to manage ambiguity, clarify scope, document decisions, align owners, and drive execution across multiple teams and priorities. Experience with AI-enabled analytics or insights workflows, including LLM-generated summaries, automated insights, data narratives, quality review, and human-in-the-loop validation. Strong attention to detail and ability to identify risks related to data quality, logic gaps, unclear ownership, missed dependencies, stakeholder alignment, or delivery readiness. Strong communication skills, with the ability to explain data, process, and technical topics clearly to both technical and non-technical audiences. Ability to work in a fast-paced, dynamic, constantly evolving business environment. Ability to manage multiple workstreams in a fast-paced environment while balancing planned roadmap work, opera…