Engineering Project Manager, Ai & Data Platforms (AiDP)
Apple
Software Engineering, Operations, Data Science
Sunnyvale, CA, USA
USD 141,800-213,700 / year + Equity
Posted on May 21, 2026
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 across Apple. Do you love understanding every detail of how new technologies work? Join the team that serves as Apple’s nerve center, our Information Systems and Technology group. There are countless ways you’ll contribute here, from Enterprise Data Analytics to GenAI Platforms to our data centers around the globe, you’ll help manage the design and implementation of massive systems that countless employees and customers rely on every day. Join our team, and together we’ll explore ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. The enterprise data warehouse manages petabytes of data, processes billions of rows of data to provide insights and enable informed business decisions. This team provides data analytics, machine learning, and data science solutions to various Apple business groups. Our team champions providing innovative platforms and solutions to transform how we work. We do this with an outstanding group of engineers, data scientists, engineering managers, and product and program managers. Are you a project manager that thrives on working on new technologies and fast-paced application and product development? Do you like to lead a multidisciplinary team working on the future of enterprise data analytics? Then we want to hear from you!
We are looking for an Engineering Project Manager (EPM), who will be instrumental in orchestrating the successful delivery of complex, cross-functional initiatives that drive significant business impact. Your leadership will encompass diverse engineering teams across multiple layers of the technology stack, as well as critical cross-functional partners and business units. A profound technical understanding is paramount; you will facilitate requirements brainstorming and design review sessions, providing challenging insights and architectural considerations to engineering discussions. Beyond merely comprehending functionalities, you are expected to contribute meaningfully to technical strategy and problem-solving. Furthermore, a strong user centric mindset is essential. You will champion the user experience, challenging decisions and advocating for solutions that prioritize the best outcomes for our users. You will proactively identify and mitigate risks, remove obstacles, and foster seamless communication and collaboration across all involved teams.
- You will be joining a team of highly-skilled and entrepreneurial team members working on rapidly evolving technological transformation. You will manage development and delivery of medium-to-large cross-functional platforms and solutions to deliver value to Apple teams.
- Lead high visibility enterprise data platform programs, responsible for roadmaps, establishing OKRs and reporting statuses to leadership regularly and succinctly.
- Drive consensus across multiple groups with varying opinions & needs. Influence entire teams around a common purpose and drive conference on the plan of execution
- Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status.
- Contribute to product definition, identifying and understanding customer needs and priorities, and developing roadmap.
- Build and run processes that allow for the maximum agility and adaptation across AiDP teams.
- Build relationships across the AiDP organization and across Apple facilitate communication between cross-divisional groups around Apple.
- 3+ years of industry experience in a data or software engineering role, with a strong understanding of data warehouse and RDBMS principles and practices.
- 3+ years of managing engineering projects, bringing multiple teams together and marching towards common objectives.
- You have demonstrated experience with database design, SQL and optimization techniques, particularly in the context of large-scale data warehousing solutions like Snowflake.
- BS in Computer Science, Engineering, or a technical related field, or international degree or equivalent industry experience.
- You have 1+ years experience managing complex data projects, including those with AI/ML components.
- Proven track record of successfully delivering projects that leverage data for advanced analytics and AI, from inception to production.
- Your ability to navigate ambiguity in a high-stakes, fast-moving environment with efficiency, discretion, integrity, and confidentiality is recognized by peers and teams
- A self-motivated, independent, and proactive person with exceptional interpersonal skills; 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.