Engineering Project Manager AML (PlanningAnalytics), AiDP

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apples Information Systems and Technology (ISu0026T) organization. ISu0026T is the engine behind everything Apple does for customers and for the people who build for them. Its Apples 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 ISu0026T makes the impossible feel you love building solutions to handle global complexity and immense scale Imagine what you could do u0026 Data Platforms (AiDP) is ISu0026Ts 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 ISu0026T 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 theres no telling what you could accomplish. Apples 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 Apples 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. nOwns roadmaps milestones and delivery commitments. nDefine and track OKRs and KPIs (data quality metrics pipeline throughput model performance SLA adherence) with regular data-backed status reporting to leadership nMaintain project schedules with dependency mapping critical path analysis and risk quantification using Wrike Quip or equivalent toolsnEngage 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 nCoordinate 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 environmentn1 years data analytics and reportingnExperience in software development life cycle methodologiesnBachelors 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 objectivenExceptional interpersonal skills with proven track record of successfully working cross functionally to achieve goals and managing multiple projectsnThe ability to navigate ambiguity in a high-stakes fast-moving environment with efficiency discretion integrity and confidentialitynSelf-motivated independent and proactive; demonstrated creative and critical thinking capabilities; can quickly triage prioritize and lead under pressurenOutstanding communication and presentation skills written and verbal to all levels of an organization nIndustry recognized Project Management Professional (PMP) or Scrum Master certificationnProven track record of thriving in fast paced dev environment with constant change