Engineering Project Manager, Ai & Data Platforms (AiDP).

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!

Description

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.

Minimum Qualifications

4+ years of industry experience in a data or software engineering role, with a strong understanding of data warehouse and RDBMS principles and practices.
4+ 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.

Preferred Qualifications

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.