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.

DESCRIPTION

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. Your responsibilities will

include: - Own end-to-end delivery of complex engineering programs from concept

through launch and post-launch stabilization, ensuring alignment with product,

technical, and business objectives. - Partner with our engineering, product, and

design teams to define program scope, roadmaps, milestones, timelines,

dependencies, and success metrics. - Drive execution rigor across the SDLC,

including planning, tracking, and measuring progress against key milestones,

deliverables, and quality standards. - Facilitate cross-team delivery and Agile

execution, leading forums such as Scrum of Scrums, sprint planning, sprint

reviews, and stand-ups to maintain momentum and alignment. - Actively engage in

technical discussions, including requirements definition, design, and

architecture reviews, to understand system dependencies, evaluate trade-offs,

and surface risks early. - Identify, assess, and mitigate delivery risks and

bottlenecks, proactively removing roadblocks and driving resolution across

teams. - Influence technical and operational decisions by understanding

architectures, data flows, infrastructure, and (where applicable) ML workflows

and their impacts. - Contribute hands-on technical expertise when needed,

including analyzing, designing, debugging, and modifying software or systems to

unblock teams, validate approaches, or de-risk delivery. - Apply working

knowledge of modern programming languages and technologies to review, prototype,

test, and debug code as appropriate to support program execution and technical

decision-making. - Ensure functional validation and delivery quality, confirming

features meet business goals, user needs, and defined requirements in

partnership with product and QA teams. - Manage program resources and

financials, including capacity planning, budget tracking, and trade-off

analysis. - Communicate program health and outcomes through clear, data-driven

updates to technical teams, leadership, and stakeholders. - Drive continuous

improvement of delivery processes, tooling, and operating models to improve

predictability, quality, and time-to-market. Some international travel may be

required.

MINIMUM QUALIFICATIONS

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. Ability to travel

internationally if needed.

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.