Head of Retail Media Analytics and Growth Strategy

Responsibilities
We are seeking an experienced leader to own and scale H-E-B Retail Media Analytics and Growth Strategy. The role sets the vision for how insights, measurement, and performance storytelling drive advertiser growth and commercial impact.

Within H-E-B’s Corporate Planning and Analysis organization, the person serves as the People Manager for Retail Media Analytics and Growth Strategy and partners closely with HRM Business and Product leadership. They activate and commercialize HRM’s measurement capabilities from insight generation through go-to-market execution to ensure 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. They influence the product roadmap by embedding advertiser insights, analytics innovation, and performance storytelling into HRM’s long‑term measurement vision.

Helps build a culture of data science excellence and mentorship, fostering collaboration across product managers, engineers, and data scientists to translate business needs into analytical requirements and product roadmaps.

Qualifications

10+ years of experience in a retail or retail‑related decision science role.

7+ years of experience in management or technical leadership.

Strong track record of collaboration with product managers, engineers, and data scientists.

Media analytics, marketing science, or data strategy experience, 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 experience with incrementality testing, MTA, and MMM methodologies including designing and interpreting design of experiment methods such as 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.

Demonstrated ability to mentor a team of data scientists and support adoption of the latest ML/AI best practices and reusable assets.

Expectations

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.

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