Manager, Customer Analytics and Decision Science

The North America Insights & Intelligence (NAI&I) team drive a human-centric and integrated Power of One (PO1) approach to insights and intelligence across our North America Commercial and Consumer organizations, to drive market-leading growth for Pepsi Co. The team provides deep Food & Beverage expertise across Shopper Analytics & Insights, Consumer Insights, Commercial Intelligence and Category Leadership to build best-in-class capabilities and offer focused programs to drive growth with our customers.

Join us to turn advanced analytics, decision science and shopper intelligence into solutions that shape retail strategies, strengthen marketplace execution, and accelerate growth across Pepsi Co’s portfolio. In this role, your work will help Pepsi Co and its retail partners make smarter, faster, and more impactful commercial decisions.

As a member of the Data and Analytics team, you will lead work streams that make retail and marketplace insights actionable across the entire Pepsi Co portfolio. You will develop strategies, introduce innovative analytical processes, and deliver insights that influence internal Pepsi Co teams and major retailers throughout the United States. This is an opportunity to deepen your expertise in commercial and shopper intelligence while becoming a trusted advisor who translates business needs into technical requirements and delivers actionable insights that create measurable value.

As Customer Analytics and Decision Science Manager
you will help shape how Pepsi Co uses data to understand shoppers, improve retail execution, and unlock growth across a broad portfolio of iconic brands. This role is ideal for someone who can connect commercial strategy, advanced analytics, and decision science insights. Turn shopper, store, product, and customer data into scalable insights and tools that guide assortment, space planning, segmentation, and go-to-market decisions.

Partner across business, analytics, product, data, and engineering teams to deliver trusted solutions with measurable impact.

• Develop scalable shopper and commercial analytics that identify growth opportunities, improve retail execution, and turn complex data into actionable recommendations for assortment, space planning, segmentation, shopper activation, personalization, and commercial planning.
• Shape the roadmap and continuous improvement of Store DNA (sDNA) and related tools based on user needs, business priorities, adoption, impact, and technical feasibility.
• Partner with insights, sales, strategy, commercial planning, product, data engineering, and software engineering teams to define analytical solutions and delivery plans, leading through influence.
• Ensure analytical quality through data validation, business rules, issue resolution, and fit-for-purpose outputs while advancing analytical rigor and business translation.
• Develop results presentations, training, documentation, and enablement materials for technical and non-technical audiences.
• Track and improve business value through adoption, speed to insight, data quality, user satisfaction, use‑case deployment, and application.

• The expected compensation range for this position is between $110,700 - $185,250.
• Location confirmed job‑related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In…