Manager, Product Management Data Scientist

Weekly Hours: 40

Role Number: 200669478-0836

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. You will bring passion and dedication to your job, and there's no telling what you could accomplish.

As a member of our Worldwide Product Marketing group, you’ll lead a team that generates data-driven and AI powered customer insights to support key product management decisions. With your team you’ll define analytical frameworks, identify product opportunities, and translate complex data into clear visualizations and recommendations that shape product strategy and customer engagement for cross functional partners and senior leaders.

Description

You and your team will lead analytical initiatives end-to-end — from scoping and data preparation to modeling and delivery — while leveraging modern AI and LLM-based tooling to accelerate workflows and enhance analytical output. You'll work cross-functionally with product managers, marketing leads, and engineering teams to inform product decisions, go-to-market strategy, and measurements of customer impact.

You have exceptional interpersonal skills and a proven track record of successfully influencing and negotiating with partners and working with many groups to achieve your goals. Engaging and influencing high-level executives, delivering presentations, gaining support for initiatives and advocating your point of view are second nature for you. The teams you’ve built and managed have thrived and contributed outsized impact collectively.

Minimum Qualifications

• 7+ years of experience and a graduate degree in Computer Science, Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, or similar quantitative field or bachelor's with 10+ years of relevant experience

• Strong proficiency in Python (i.e. pandas, NumPy, SciPy), data pipeline tools (PySpark, Spark), and experience with building and manipulating databases (Postgres, sqlite)

• Experience with developing AI-assisted analysis workflows, working with foundation models and LLMs, or using agentic systems for technical problem solving (i.e. creating AI tools and logic that directly influences R&D product decisions)

• Demonstrated experience driving technical initiatives in ambiguous, cross-functional environments, with a solutions-oriented mindset, rallying teams to drive towards outcomes despite ambiguity or resistance

• Exceptional communication skills, with the ability to simplify complex topics and engage stakeholders at all levels

• Mentored and supported other analysts on a team, providing guidance on analytical approaches, tooling, and best practices

Preferred Qualifications

• 2+ years of prior people management experience

• Proven record leading teams that effectively collaborate with engineering, design, and marketing peers

• Capable of translating business questions into the right technical and data analysis to reach appropriate answers

• Foster a collaborative team environment by sharing knowledge, co-developing frameworks, and contributing to a culture of continuous learning

• High aptitude for uncovering insights through data exploration and analysis

• Strong ability to lead through influence, debate, and focusing on what’s best for users

• Strong business acumen with the ability to connect analytical insights to business and product strategy

• Curiosity to find creative solutions and alternative paths for problem solving

• Experience designing and deploying LLM-based and agentic workflows to improve analytical productivity

• Experience managing end-to-end analytics projects with multiple competing priorities

• Experience working with incomplete or ambiguous data to deliver results in a dynamic environment

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.