Head of Retail Media Analytics and Growth Strategy

Responsibilities We are seeking a senior leader to own and scale H‑E‑B Retail Media (HRM) Analytics and Growth Strategy who sets the vision for how insights, measurement, and performance storytelling drive advertiser growth and commercial impact. This role sits within H‑E‑B’s Corporate Planning and Analysis organization and serves as the People Manager for Retail Media Analytics and Growth Strategy, partnering closely with HRM Business and Product leadership. You will be accountable for activating and commercializing HRM’s measurement capabilities from insight generation through go‑to‑market execution ensuring advertisers and internal teams understand, trust, and act on analytics to drive measurable business outcomes. The Analytics & Growth Strategy leader shapes a cohesive measurement narrative, leads go‑to‑market strategy, and translates advanced analytics into clear, compelling value propositions for brand partners. You will also influence the product roadmap by embedding advertiser insights, analytics innovation, and performance storytelling into HRM’s long‑term measurement vision. Once you’re eligible, you’ll become an Owner in the company, so we’re looking for commitment, hard work, and focus on quality and customer service. “Partner‑owned” means our most important resources—People—drive the innovation, growth, and success that make H‑E‑B The Greatest Omnichannel Retailing Company. Heart for people—willingness to mentor? Head for business—ability to build connections between H‑E‑B and external thought leaders? Passion for results—drive to explore options to optimize reuse / efficacy of shared assets? Qualifications Someone who can inspire and mentor data scientists on adoption of the latest ML / AI best practices and reusable assets. 10 years of experience in a retail‑related data / decision science role; experience managing data science teams across multiple projects. A related degree or comparable formal training, certification, or work experience. 10+ years of experience in a retail or retail‑related decision science role. 7+ years of experience in management or technical leadership. Strong collaboration track record with product managers, engineers, and data scientists, especially in translating business needs into analytical requirements or product roadmaps. Media analytics, marketing science, or data strategy, preferably in retail media, CPG, ad tech, or digital marketing. Ability to engage directly with advertisers and agencies, articulating analytical findings in a business‑relevant way and influencing investment strategy. Deep understanding of the media measurement ecosystem, including programmatic display, sponsored search, CTV, and omnichannel attribution. Hands‑on operation experience with incrementality testing, MTA, and MMM methodologies including designing and interpreting design of experiment methods like holdout experiments, causal inference, and synthetic control groups. Experience working with clean rooms/CaaS, identity graphs, and 1P/3P data integrations to power closed‑loop measurement. Familiarity with key retail media KPIs and metrics: ROAS, lift, viewability, attention, sales attribution, share of voice, and category growth. Excellent communication and storytelling skills; capable of packaging complex analytical outputs into narratives for executive and advertiser audiences. Work in a fast‑paced retail environment with frequently shifting priorities. Travel by car or plane with overnight stays. Work extended hours; sit for long periods. #J-18808-Ljbffr H-E-B