Sr. Manager Geospatial Intelligence- Localized Assortment & Store Clustering

The Kraft Heinz Company

12d • $120,800 - $151,000 • Remote

About The Position

The Senior Manager, Geospatial Analytics – Localized Assortment & Store Clustering leads the development of localized, store-specific recommendations by combining geospatial intelligence, shopper behavior, and store-level performance data. This role uses Placer.ai and other integrated data sources to understand who shops in a store, who lives within its trade area, and how local market dynamics should shape assortment, clustering, and planning decisions. This leader translates complex market, mobility, demographic, and operational data into actionable recommendations that help drive category growth and incremental sales at both the enterprise and store level. The role serves as the subject matter expert on store clustering and localized opportunity identification, advising customer teams, retail partners, and internal stakeholders on where and how to tailor category strategies to local demand.

Requirements

• Bachelor’s degree in GIS, Geography, Analytics, Business, Statistics, Data Science, Economics, Marketing, or a related field; advanced degree preferred.
• Significant experience in geospatial analytics, retail analytics, category management, localized assortment, space planning, or related commercial strategy roles.
• Experience using Placer.ai or similar mobility/location intelligence platforms.
• Strong understanding of trade area analytics, shopper behavior, store clustering, and localized retail strategy.
• Demonstrated experience working with integrated datasets that connect geospatial, shopper, and store-level operational data.
• Proven ability to convert complex analyses into clear business recommendations that influence customer-facing and internal decisions.
• Strong communication and stakeholder management skills, with the ability to operate as a subject matter expert across multiple audiences.
• Expertise in store clustering, trade area analysis, and local market segmentation
• Strong analytical ability across mobility, demographic, store performance, and operational datasets
• Ability to identify emerging local demand patterns and translate them into category and assortment actions
• Experience building practical playbooks tied to weather, events, seasonality, and population shifts
• Strong consultative skills with the ability to influence customer teams, retail partners, and internal stakeholders
• Ability to connect local insights to enterprise-level opportunities and scalable recommendations
• Strong business storytelling and presentation skills
• Comfort operating as a strategic subject matter expert rather than a purely technical analyst

Responsibilities

• Develop and maintain store-level clustering strategies based on shopper behavior, trade area composition, demographic shifts, and emerging market trends.
• Leverage Placer.ai and other data sources to create micro-assortment recommendations informed by who shops a store and who lives within its store polygon or market area.
• Analyze store-level and market-level data to identify current and future localized opportunities that influence category strategy and assortment decisions.
• Build event-, weather-, and season-based playbooks that help customer teams and partners respond to changing local demand patterns.
• Identify local and regional seasonal opportunities, including multicultural events, temporary population shifts, and other market-specific drivers of demand.
• Detect emerging local whitespace opportunities, such as changes in retirement communities, proximity to college campuses, and evolving neighborhood dynamics.
• Conduct incursion analysis to evaluate the impact of new store openings near existing locations and recommend actions to mitigate risk or unlock growth.
• Use trip circuit and trip mission insights to better understand shopper intent and inform localized assortment and category recommendations.
• Synthesize data from the Category Intelligence Platform, including GIS datasets, point-of-sale data, inventory, weather, and real-o-grams, into clear business insights and recommendations.
• Serve as the go-to expert on store clustering methodology and geospatial analytics for customer teams, retail partners, and internal stakeholders.
• Present actionable, data-driven recommendations that support both strategic planning and local execution.

Benefits

• Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family’s needs.
• Events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
• Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
• Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training
• Employee Assistance Program, Wellbeing Programs, Family Support Programs
• 401k, Life, Accidental Death & Dismemberment, Disability

What This Job Offers

• Job Type: Full-time
• Career Level: Manager