Engineering Project Manager - AML (Planning/Analytics), AiDP

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

Imagine what you could do here. At Apple, great ideas have a way of becoming great 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 Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and, as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers.

Join Apple's AML Team as an Engineering Project Manager driving data engineering and data science program delivery. This role demands technical fluency in data platforms, pipelines, and large-scale data infrastructure - combined with rigorous project execution. We need someone who can translate complex data initiatives into structured delivery plans, drive measurable outcomes, and operate across highly technical teams under tight timelines.

Responsibilities:

Lead the end-to-end delivery of data engineering and data science projects, including ETL/ELT pipelines, feature stores, model training and deployment workflows, and data platform migrations.

Owns roadmaps, milestones, and delivery commitments.

Define and track OKRs and KPIs (data quality metrics, pipeline throughput, model performance, SLA adherence) with regular data-backed status reporting to leadership

Maintain project schedules with dependency mapping, critical path analysis, and risk quantification using Wrike, Quip, or equivalent tools

Engage with technical design across cloud infrastructure, distributed compute (Spark, Airflow, Kubernetes), data warehousing, streaming pipelines, and ML serving to drive informed tradeoff discussions with engineering leads

Coordinate execution across data engineering, data science, DevOps, and security - removing blockers and ensuring integration from data ingestion through model deployment

Preferred Qualifications

2+ years of leading engineering programs for data platform and engineering support with a proven track recording managing large and complex cross functional programs, bringing multiple teams together and march towards a common objective

Exceptional interpersonal skills with proven track record of successfully working cross functionally to achieve goals and managing multiple projects

The ability to navigate ambiguity in a high-stakes, fast-moving environment with efficiency, discretion, integrity, and confidentiality

Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure

Outstanding communication and presentation skills, written and verbal, to all levels of an organization

Industry recognized Project Management Professional (PMP) or Scrum Master certification

Proven track record of thriving in fast paced dev environment with constant change

Minimum Qualifications

3+ years of experience in engineering project management in an enterprise environment

1+ years data analytics and reporting

Experience in software development life cycle methodologies

Bachelor's Degree in Computer Science, Information Systems or related field; or equivalent experience