Manager, Product Management Data Scientist

Apple Inc.; Cupertino (CA); On-site; USD 213,000 - 376,000; Full time

Job summary

Apple Inc. is seeking a Manager, Product Management Data Scientist to lead a team that delivers data-driven customer insights shaping product strategy across partners and executives.

You’ll scope analyses, build AI-assisted workflows, and present findings to both technical and non-technical stakeholders to drive decision-making and product growth. Experience leading analytics, strong Python and SQL skills, and a track record of influencing cross-functional teams are required.

Qualifications

• 7+ years of experience in product analytics or data science leadership; graduate degree or 10+ years with relevant experience.
• Strong Python (pandas, NumPy) and SQL skills; experience with data pipelines (PySpark, Spark).
• Experience with AI-assisted analytics and LLM tools; ability to influence product decisions.

Responsibilities

• Define and lead rigorous analyses to deepen understanding of customers and products.
• Identify data-driven opportunities to inform product decisions.
• Present findings to both technical and non-technical audiences with clarity.
• Leverage LLMs and AI workflows to streamline analyses and accelerate insights.
• Collaborate with product, design, and engineering to translate insights into strategy.
• Develop compelling visualizations to communicate actionable insights.

Skills

Python (pandas, NumPy, SciPy)

LLMs & agentic AI

Cross-functional collaboration

Mentoring analysts

Education

Bachelor's degree + 10+ years experience

Graduate degree in CS/Statistics/Math

Tools

PySpark

Spark

Postgres

SQLite

Job description

Manager, Product Management Data Scientist

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.

Responsibilities

• Define and lead rigorous, innovative analyses that deepen our understanding of customers and products
• Identify new and creative ways to bring data to critical product decisions
• Present findings to technical and non-technical audiences with clarity, precision, and confidence
• Leverage LLMs and agentic AI workflows to streamline analysis, automate repetitive tasks, and accelerate insight generation, visualization, and modeling
• Help shape analytical standards and best practices on the team, including how we adopt and apply emerging AI tooling
• Collaborate cross-functionally with product development teams including product management, design and engineering partners to translate insights into strategy
• Develop compelling presentations and visualizations that communicate actionable insights and drive decision-making

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

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 $212,600 and $376,300, 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.

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. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.