Senior Director, Product Analytics

McAfee•Frisco, TX

62d•Hybrid

About The Position

Role Overview: We’re seeking a strategic Product Analytics leader to build and scale our understanding of how customers engage with McAfee’s suite of online protection tools. The role will reporting into the VP, Analytics & Data Science, and lead a team of product analysts and data scientists embedded across our Product organization, ensuring data and insight inform every stage of the product lifecycle, from concept and prioritization, to launch, to experimentation and continuous improvement. The Sr. Director will set a clear direction for how analytics fuels product innovation and customer value. They will hire, develop, and inspire a high-performing team, create the structures and practices that scale with our growth, and work closely with senior leaders to influence company-wide strategy. They will combine strategy and operation, ensuring our analytics function is not only insightful but consistently delivering high-impact outcomes. This is a Hybrid position located in Frisco, TX, San Jose, CA or New York, New York. You will be required to be onsite on an as-needed basis, typically 1-4 days per month. We are only considering candidates within a commutable distance to this location and are not offering relocation assistance at this time. About the role: Lead and grow the product analytics function, including hiring, onboarding, and developing top-tier talent. Set a clear vision for how analytics informs product decisions, aligning with broader company strategy and business goals. Partner with product and UX leadership to define success metrics, evaluate feature performance, and influence strategic priorities. Represent product analytics in C-suite and executive forums, delivering insights that drive business-critical decisions. Oversee experimentation and advanced analytics programs to inform product development and optimize customer journeys. Collaborate with Marketing and other analytics teams to assess and maximize the impact of adoption and engagement initiatives on business outcomes (adoption, renewals, upsell/cross-sell, etc.) Work closely with Engineering and Data Engineering to ensure robust instrumentation, high-quality data, and scalable access to analytics. Build a strong team culture rooted in curiosity, analytical rigor, and delivering measurable business impact.

Requirements

12+ years of experience in product analytics, data science, or other quantitative disciplines, with at least 5 years in leadership roles managing high-performing teams.
Proven track record influencing product strategy and outcomes through data, ideally in a subscription-based or e-commerce environment.
Expertise in product metrics, behavioral analytics, and product telemetry strategy.
Extensive experience in experimental design, including A/B and multivariate testing causal inference, and difference-in-difference techniques
Advanced experience with SQL and Python
Experience building and scaling analytics teams, including hiring and developing talent.
Ability to operate effectively at the executive level, engaging with C-suite leaders on strategy and priorities.
Exceptional communication and storytelling skills, translating complex findings into clear, actionable recommendations.
A balanced approach to leadership - capable of setting strategic direction while ensuring operational excellence.

Responsibilities

Lead and grow the product analytics function, including hiring, onboarding, and developing top-tier talent.
Set a clear vision for how analytics informs product decisions, aligning with broader company strategy and business goals.
Partner with product and UX leadership to define success metrics, evaluate feature performance, and influence strategic priorities.
Represent product analytics in C-suite and executive forums, delivering insights that drive business-critical decisions.
Oversee experimentation and advanced analytics programs to inform product development and optimize customer journeys.
Collaborate with Marketing and other analytics teams to assess and maximize the impact of adoption and engagement initiatives on business outcomes (adoption, renewals, upsell/cross-sell, etc.)
Work closely with Engineering and Data Engineering to ensure robust instrumentation, high-quality data, and scalable access to analytics.
Build a strong team culture rooted in curiosity, analytical rigor, and delivering measurable business impact.