Engineering Program Manager

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.

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.

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, operational issues, and ad hoc business requests.
B.S. degree in Engineering, Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience.

Familiarity with modern AI/GenAI capabilities for insights generation, including automated summaries, natural-language explanations, anomaly detection, recommendations, and agentic workflows.
Experience working with tools such as Jira, Confluence, Tableau, GitHub, Airflow, dbt, Snowflake, Spark, Databricks, or similar data and engineering platforms.
Ability to partner with engineering teams on technical readiness across data pipelines, APIs, model integrations, monitoring, data refreshes, access controls, and launch criteria.
Understanding of operational risks in data and AI products, including stale data, broken pipelines, metric inconsistencies, model behavior issues, permission gaps, and unclear ownership.
Experience working with globally distributed engineering or data teams and coordinating execution across multiple time zones.
Strong judgment on when to escalate technical risks, adjust scope, pause delivery, or align leadership on tradeoffs.
Advanced Degree (MS or Ph.D.) in Computer Science, Engineering, Data Science, Information Systems, Statistics, Business Analytics, Operations Research, or a related quantitative/technical field is preferred.

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.

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 $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.