Engineering Project Manager, Ai & Data Platforms

Do you love understanding every detail of how new technologies work Join the team that serves as Apples nerve center our Information Systems and Technology group. There are countless ways youll contribute here whether youre coordinating technology needs for product launches designing music solutions for retail locations or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe youll help design and manage the massive systems that countless employees and customers rely on every day. Youll also build custom tools for employees empowering them to solve complex problems on their own. Join our team and together well explore all the ways to improve how Apple operates freeing our employees to do what they do best: craft magical experiences for our customers. nnYou will be a member of Apples organization responsible for driving Generative AI and Data Platforms for Apple enterprise. 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 enterprise Generative AI by 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. nnAI 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.

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. nnAre 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!

You will be joining a team of highly-skilled and entrepreneurial team members working on groundbreaking and rapidly evolving technological transformation of a lifetime. You will lead large cross-functional platforms and solutions to deliver value to Apple high visibility enterprise generative AI programs responsible for roadmapping establishing OKRs and reporting statuses to executives regularly and succinctlynDrive consensus across multiple groups with varying opinions u0026 needs. Influence entire teams around a common purpose and drive conference on the plan of executionnCreate and manage project schedules with clear dependencies critical path and systematic methodology to communicate statusnContribute to product definition identifying and understanding customer needs and priorities and developing and run processes that allow for the maximum agility and adaptation across AiDP relationships across the AiDP organization and across Apple facilitate communication between cross-divisional groups around Apple.

5 years of industry experience in an engineering role.n2 years of managing engineering programs bringing multiple teams together and marching towards common in Computer Science Engineering or a technical related field or international degree equivalent

Ideally you have one-plus years experience exposure to AI or ML programs in an enterprise environmentnYour ability to navigate ambiguity in a high-stakes fast-moving environment with efficiency discretion integrity and confidentiality is recognized by peers and teamsnA self-motivated independent and proactive person with exceptional interpersonal skills; demonstrated creative and critical thinking capabilities; can quickly triage prioritize and lead under communication and presentation skills written and verbal to all levels of an organization.