Engineering Program Manager, Data Solutions & Initiatives

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We work in a startup atmosphere where individuals take ownership and have significant impact on the final product.

We are a team within Apple’s Worldwide Sales organization, Data Solutions & Initiatives (DSI) — we are experts in product design, engineering, and portfolio management, and we are seeking a highly technical, execution-focused Engineering Program Manager to drive delivery of large-scale, strategic business programs. This role is critical to translating product and technical strategy into executable plans while remaining deeply engaged in the technical realities of what is being built.

The ideal candidate brings a strong technical background and leverages that expertise daily—understanding architectures, data flows, development lifecycles, and technical constraints at a system level. You are comfortable facilitating design and architecture discussions, evaluating trade-offs, and working hands-on with delivery teams to remove blockers. You excel at aligning cross-functional partners, creating structure in ambiguous environments, and ensuring high-quality delivery of complex programs that span multiple teams and domains.

In this role you will own the planning, coordination, and execution of complex engineering programs from concept through launch and post-launch stabilization. You will partner closely with engineering, product, design, and other stakeholders to define scope, outcomes, technical roadmaps, and delivery plans, while driving execution across the full software development lifecycle. This role requires a blend of strategic thinking, program management rigor, and deep technical understanding. You will actively participate in requirements definition, design and architecture reviews, Agile ceremonies, and delivery forums, while ensuring teams remain aligned, risks are proactively managed, and outcomes meet both technical and business objectives.

Minimum Qualifications

• 5-7+ years of experience in engineering program management, or equivalent technical delivery roles.
• Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.
• Proven experience owning end-to-end delivery of complex engineering programs across the full SDLC.
• Strong hands-on technical background, with the ability to understand and engage in system architecture, data flows, APIs, and development lifecycles.
• Demonstrated experience leading cross-functional engineering efforts across software, platform, data, infrastructure, and quality domains.
• Ability to actively engage in technical problem-solving, including reviewing designs, debugging issues, and contributing code or prototypes when needed to unblock delivery.
• Deep experience with Agile delivery and program management tools (e.g., Jira) and execution frameworks.
• Strong organizational skills with the ability to manage ambiguity, dependencies, and competing priorities in fast-paced environments.
• Excellent written and verbal communication skills, with the ability to clearly communicate technical and program status to diverse audiences.
• Experience with capacity planning, milestone tracking, and delivery risk management.

Preferred Qualifications

• PMP or equivalent program management certification.
• Experience supporting AI/ML-driven products, including familiarity with ML development lifecycles, data pipelines, and model deployment workflows.
• Hands-on experience with modern data platforms (e.g., Snowflake, Trino, Dremio).
• Proficiency with SQL, Python, and analytical or visualization tools (e.g., Tableau).
• Experience with large-scale platform/infrastructure programs.
• Background in high-performance or product-led organizations where delivery speed, quality, and scale are critical.
• Strong analytical mindset with the ability to use data to inform trade-offs, prioritization, and execution decisions.