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 theres no telling what you could a member of our Worldwide Product Marketing group youll lead a team that generates data-driven and AI powered customer insights to support key product management decisions. With your team youll 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.

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. Youll work cross-functionally with product managers marketing leads and engineering teams to inform product decisions go-to-market strategy and measurements of customer impact. nnYou 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 youve built and managed have thrived and contributed outsized impact collectively.

Define and lead rigorous innovative analyses that deepen our understanding of customers and productsnIdentify new and creative ways to bring data to critical product decisionsnPresent findings to technical and non-technical audiences with clarity precision and confidencenLeverage LLMs and agentic AI workflows to streamline analysis automate repetitive tasks and accelerate insight generation visualization and modelingnHelp shape analytical standards and best practices on the team including how we adopt and apply emerging AI toolingnCollaborate cross-functionally with product development teams including product management design and engineering partners to translate insights into strategynDevelop compelling presentations and visualizations that communicate actionable insights and drive decision-making

7 years of experience and a graduate degree in Computer Science Statistics Data Mining Machine Learning Analytics Econometrics Mathematics or similar quantitative field or bachelors with 10 years of relevant experiencenStrong proficiency in Python (i.e. pandas NumPy SciPy) data pipeline tools (PySpark Spark) and experience with building and manipulating databases (Postgres sqlite)nExperience 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 Ru0026D product decisions)nDemonstrated experience driving technical initiatives in ambiguous cross-functional environments with a solutions-oriented mindset rallying teams to drive towards outcomes despite ambiguity or resistancenExceptional communication skills with the ability to simplify complex topics and engage stakeholders at all levelsnMentored and supported other analysts on a team providing guidance on analytical approaches tooling and best practices

2 years of prior people management experiencenProven record leading teams that effectively collaborate with engineering design and marketing peers nCapable of translating business questions into the right technical and data analysis to reach appropriate answersnFoster a collaborative team environment by sharing knowledge co-developing frameworks and contributing to a culture of continuous learningnHigh aptitude for uncovering insights through data exploration and analysisnStrong ability to lead through influence debate and focusing on whats best for usersnStrong business acumen with the ability to connect analytical insights to business and product strategynCuriosity to find creative solutions and alternative paths for problem solvingnExperience designing and deploying LLM-based and agentic workflows to improve analytical productivitynExperience managing end-to-end analytics projects with multiple competing prioritiesnExperience working with incomplete or ambiguous data to deliver results in a dynamic environment