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Data Leader | Retail & Commerce Media

Job in Raleigh, Wake County, North Carolina, 27608, USA
Listing for: Accenture
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Systems/ Tech Analyst
Job Description & How to Apply Below
We Are:

Accenture Song is the world's largest tech-powered creative group. We reinvent companies by connecting what customers value with what is valuable to the business. Rooted in strategy, powered by tech, enhanced with AI, and elevated by creativity, our Design & Digital Products, Marketing, Commerce, and Service practices deliver superb craftmanship it us at:  

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 deepen s   relationships and   drives business value.
You are a natural cross-functional partner   that can drive alignment for roadmaps for commercially   viabl e   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   exp erience   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 e xperience   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…
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