Data Leader | Retail & Commerce Media

Accenture•Kirkland, WA

2d•$138,800 - $434,000•Hybrid

About The Position

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 at scale. Visit us at: www.accenture.com/song. 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.

Requirements

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 Haves

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

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