Senior Manager, Data Analytics - Advanced Analytics - Multi Touch Attribution

Overview

Position Summary…

At Sam’s Club, being member obsessed means using data to create measurable value—for our members, our suppliers, and the business. As Senior Manager of Advanced Analytics – Multi-Touch Attribution, you will lead the creation and scaling of advanced measurement solutions that directly drive incremental ad revenue and incremental sales performance across Sam’s Club’s Member Access Platform (MAP).

This is a high-impact leadership role where success is defined not by maintaining models, but by building scalable, ML-powered attribution and modeling solutions that suppliers trust and that materially influence media investment decisions. You’ll own the evolution of Omni Impact MTA and Enhanced MMM, ensuring these solutions scale across brands, channels, and use cases while delivering clear, monetizable insights that fuel MAP’s growth.

• Build and scale advanced measurement solutions
  
  Design, deliver, and continuously improve multi-touch attribution and media mix modeling solutions that scale across suppliers, categories, and channels using modern ML techniques.

• Drive incremental revenue and sales impact
  
  Ensure attribution and modeling outputs clearly quantify incremental sales and iROAS, enabling MAP to influence budget allocation decisions that drive incremental ad revenue.

• Evolve Omni Impact MTA into a scalable product
  
  Lead the refinement and operationalization of Omni Impact MTA using online and offline data, ensuring it can be refreshed, rescored, and reused efficiently without custom rebuilds.

• Launch an Enhanced MMM solution
  
  Create and operationalize an Enhanced MMM framework that supports budget planning and optimization, integrates MTA outputs as priors, and materially reduces processing and turnaround time.

• Operationalize continuous model delivery
  
  Establish repeatable processes for annual builds and biannual or quarterly refreshes that maintain consistency, transparency, and alignment with prior reporting.

• Deliver more granular, supplier-ready insights
  
  Advance modeling logic to deliver brand- and media-type–level insights (e.g., onsite display, social, offsite), enabling suppliers to clearly see what drives performance.

• Expand channel and data coverage
  
  Integrate new media channels and data sources (ISB, TV Wall, social platforms, Freeosk, enterprise marketing assets) into attribution and MMM frameworks.

• Leverage Generative AI to scale insights
  
  Enhance GenAI-driven insight generation that automates storytelling around incremental sales, iROAS, and path-to-purchase—making advanced analytics easier to consume and act on.

• Engineer for efficiency and scale
  
  Partner with data engineering to eliminate manual workflows, modernize pipelines, structure codebases for reuse, and maintain strong documentation and governance standards.

• Act as a trusted technical leader
  
  Serve as the analytics authority for internal stakeholders and suppliers, supporting executive readouts, case studies, seasonal analyses, and strategic measurement conversations.

• A proven track record building and scaling MMM and MTA solutions that influence media investment decisions and drive measurable revenue impact.

• Deep expertise in advanced analytics, ML, and statistical modeling within a retail media, advertising, or data-rich environment.

• Strong programming skills in Python and SQL, with hands-on experience in Databricks, Big Query, and Git Hub-based development workflows.

• Experience designing production-ready data pipelines that integrate online, offline, social, and in-store data sources.

• Practical experience applying Generative AI to analytics—particularly for automating insights, interpretation, or narrative generation.

• A “process engineer” mindset with a bias toward automation, scalability, and repeatability over one-off solutions.

• The ability to translate complex analytics into clear business value for sales teams, suppliers, and executive leadership.

• Comfort operating in ambiguity, with the curiosity and drive to continuously improve how measurement works.

• Familiarity with retail, membership-based businesses, or retail media networks (preferred).

• AI/ML engineering experience building scalable…