About The Position

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. 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. 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.

Requirements

  • 3+ years of industry experience as a project manager managing data or software engineering projects, bringing multiple teams together and marching towards common objectives.
  • You have a good understanding of full stack software development such as database principals, data processing, integration/API, and front-end frameworks.
  • A foundational understanding or keen interest in Generative AI concepts; such as, Retrieval Augmented Generation (RAG), prompt engineering, agentic AI or efficient information access strategies.
  • BS in Computer Science, Engineering, a related technical field, or equivalent international degree.
  • 3+ years of industry experience in a data or software engineering role.
  • 1+ years experience managing complex, large-scale data projects with AI/ML components.
  • Proven track record of successfully delivering data-driven projects for advanced analytics and AI, from inception to production.
  • Your ability to navigate ambiguity efficiently, discreetly, with integrity, and confidentiality in a high-stakes, fast-moving environment is recognized by peers and teams.
  • You are a self-motivated, independent, and proactive person with exceptional interpersonal skills, creative and critical thinking capabilities, and the ability to quickly triage, prioritize, and lead under pressure.
  • You possess exceptional communication and presentation skills, both written and verbal, across all organizational levels.

Responsibilities

  • 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.
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