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.
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.
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
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
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
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.