All About You:You are a data and measurement leader who sits at the intersection of retail science and media accountability. You have built first-party data strategies, designed audience taxonomies, and created measurement frameworks that drive confidence in the ROI of their retail media investment. You understand that data is among the most valuable assets in media, and you know exactly how to operationalize and commercialize it.
You are as fluent in technical architecture as you are in business strategy and bring commercial curiosity to everything you do. You know how to shape the value of data and measurement into a narrative that deepens relationships and drives business value. You are a natural cross-functional partner that can drive alignment for roadmaps for commercially viable audience and insight solutions.
The Job:As Data Leader, Retail & Commerce Media, you will own the intelligence engine strategy and implementation for brands and retailers by turning first-party shopper data into advertiser value, measurement frameworks, and strategic differentiation to ensure capabilities remain a credible and compelling reason to invest.
You will strategize and own roadmaps for audience segmentation, closed-loop reporting, and incrementality measurement, and you will govern the data partnerships, clean room integrations, and identity infrastructure that underpin them.
The role focused on data commercialization leadership and outcomes, aligning client business objectives with technology execution and operational readiness.
Responsibilities: - Define and own first-party data strategy, audience taxonomy, and segmentation frameworks across RMN ecosystems
- Lead clean room architecture, privacy-safe data collaboration, and identity resolution strategy
- Build and govern closed-loop measurement, incrementality, and attribution frameworks for buy and sell side reporting
- Commercialize insights as a premium product offering by packaging data capabilities that justify media investment and command premium pricing
- Partner with Go to Market to support advertiser pitches, RFPs, and measurement consensus conversations
- Collaborate with Product to shape data product development and ensure analytics capabilities are built for scale and usability
- Set standards for campaign measurement, post-campaign reporting, and advertiser-facing data delivery
- Partner with Engineering and data platform teams on CDP architecture, data warehouse design, and pipeline reliability
- Contribute reusable measurement frameworks, audience accelerators, and data best practices across engagements
Must Have: - 10+ years of experience in data, analytics, or measurement leadership, with meaningful time in retail media, ad tech, or commerce measurement
- 5+ years experience in incrementality and attribution modeling, audience segmentation, identity resolution, and clean room platforms such as AWS Clean Rooms or Habu
- 5+ years experience translating complex data capabilities into commercially valuable products and advertiser-facing narratives
- 5+ years experience leading and developing analytics teams in fast-moving, commercially driven environments
Nice to Have: - Strong technical fluency in SQL, Python, and modern data stack tooling including debt and cloud data warehouses
- Experience leading or developing self service measurement and insight tools for buy and sell side
- Demonstrated ability to manage multiple deliverables in a fast-paced environment while maintaining analytical rigor.
- Strong written and verbal communication skills with a track record of translating complex data into clear, actionable narratives for non-technical stakeholders.
- Data-driven decision maker, using client performance data and industry knowledge to inform client priorities and tradeoffs
- Collaborative team leader, excelling in multi-disciplinary, cross-functional environments
- Entrepreneurial and product-minded, with the ability to think creatively and pragmatically to solve complex problems
- Growth-oriented mindset, approaching client challenges with ownership, accountability, and a focus on long-term value creation
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 08/07/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $163,000 to $434,000
Cleveland $150,900 to $347,200
Colorado $163,000 to $375,000
District of Columbia $173,500 to $399,300
Illinois $150,900 to $375,000
Maine $138,800 to $319,400
Maryland $163,000 to $375,000
Massachusetts $163,000 to $399,300
Minnesota $163,000 to $375,000
New York $150,900 to $434,000
New Jersey $173,500 to $434,000
Virginia $150,900 to $399,300
Washington $173,500 to $399,300