AI & Data Insights Engineering PM

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 145,000 - 218,000; Full time

Benefits offered by this job

Stock options / RSUs

Employee Stock Purchase Plan

Medical and dental coverage

Retirement benefits

Discounted products and services

Education reimbursement

Relocation assistance

Bonus/commission potential

Job summary

Apple Inc. is seeking an Engineering Program Manager for the US Decision Intelligence team in Cupertino to scale AI-enabled insights generation and data operations across data engineering, data science, and business teams.

You will own execution plans, coordinate end-to-end delivery, and help establish repeatable processes for insights requests, validation, and release, while ensuring data quality and stakeholder communication across multiple teams.

Qualifications

• 5+ 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.

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.

Skills

Engineering program management

Data engineering / data science

Cross-functional leadership

AI-enabled analytics

Education

Bachelor's in Engineering/CS/Data Science or related

Advanced degree preferred

Tools

Wrike

Confluence

Tableau

GitHub

Airflow

dbt

Snowflake

Spark

Databricks

Job description

Apple Inc. is seeking an Engineering Program Manager for the US Decision Intelligence team in Cupertino to scale AI-enabled insights generation and data operations across data engineering, data science, and business teams.

You will own execution plans, coordinate end-to-end delivery, and help establish repeatable processes for insights requests, validation, and release, while ensuring data quality and stakeholder communication across multiple teams.