AIML - Sr Engineering Program Manager, Data

Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? If so, then we want to speak with you!

As a member of the AIML Data EPM group, you will be responsible for Apple's ability to use data to power its products for hundreds of millions of users around the world. You will work with the AIML Data organization to deliver on our vision to make data the voice of our customers, and to inform product and machine learning development. We develop scalable, performant, and quality enterprise data services, for the ultimate goal of measuring and improving products such as Siri and Search. We're looking for an experienced hands-on program manager who can flex into product management as needed, to partner with data engineering, data science, product, and client engineering teams.

Do you have a track record of successful program management across complex initiatives? Have you worked on highly leveraged data-schema processes, data efficiency initiatives, or data pipelines? Are you excited about driving the technical projects vital to efficiently scale our understanding of our products in privacy compliant ways? Do you thrive working with teams to focus on what matters? We would love to talk to you.



Description
- Manage data collection and streamlining processes, creating frameworks that scale across different teams, and supporting and maintaining the operations of those processes.

- Own program and project planning for partner Data Engineering team, including gathering requirements, scoping effort, prioritization and resource allocation, blocking and tackling, and schedule of deliverables.

- Contribute to product definition with partner Data Engineering team, identifying and understanding customer needs and priorities, and developing roadmap.

- Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed.

- Build and run processes that allow for the maximum agility and adaptation across data engineering teams to collect data and understand our products.

- Build relationships across the AIML organization and across Apple, aiding teams in working with data engineering; facilitate communication between cross-divisional groups around Apple.

---