10 jobs for "Engineering Project Manager, Ai & Data Platforms"

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

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Posted on Oct 19

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Engineering Project Manager, Ai & Data Platforms

At Apple - Sunnyvale

Posted on Oct 19

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Engineering Project Manager, Ai & Data Platforms

At Apple - Sunnyvale

Posted on Oct 17

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Engineering Project Manager, Ai & Data Platforms

At Apple - Sunnyvale

Posted on Oct 10

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Manager, Engineering Program Management - Ai & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 17

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Engineering Manager Athena Platform Services, IS&T Ai & Data Platforms

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Posted on Oct 15

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Engineering Project Manager (Marcom Interactive), Retail & Marcom Engineering

At Apple - Sunnyvale

Posted on Oct 19

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Senior Manager, Application Engineering

At Adyen - Amsterdam

Posted on Nov 5

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Senior Manager, Digital Workplace

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Posted on Oct 30

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Benchmarking Project Lead, Siri Evaluation

At Apple - Cambridge

Posted on Oct 17

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Apple

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

Sunnyvale, CA$175,500 – $263,800Posted 19 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.","responsibilities":"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.

Preferred Qualifications

4+ 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

Minimum Qualifications

4+ 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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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