United States onlyPosition 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.
What you'll do...
What you'll do- 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, BigQuery, and GitHub-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 measurement or targeting systems (strong plus).
- Master’s degree or PhD in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or similar (preferred).
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09930: The annual salary range for this position is $90,000.00 - $180,000.00
San Bruno, California US-08848: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.1 year's supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience
CA, MX + 1 more
