(USA) Senior Manager, Data Science - AI Strategy (Spark Earnings Excellence)

Role summary

As a Senior Manager, Data Science - AI Strategy (Spark Earnings Excellence), you will own and drive the AI and automation strategy for the Spark Earnings Excellence team. You will find high-impact opportunities to automate manual work and apply AI/ML to earnings analysis. You will then work with business and technology partners to deliver them. This role is a strategic bridge between business users and technology teams.

You will be accountable for embedding AI across the team's work. About the team: The Spark Earnings Excellence team ensures the accuracy, integrity, and quality of driver earnings weekly. This team leads the development of an AI-first operating model across all pillars, focusing on leveraging advanced data science and machine learning techniques.

Collaborating closely with business partners, the team applies technology to enhance outcomes for drivers and Walmart.

What you'll do

• Set and own the multi-year AI and automation vision across Spark Earnings Excellence pillars.
• Architect scalable data, platform, and governance foundations that enable AI at enterprise scale.
• Ship agentic AI for use cases like payment validation, defect root-cause analysis, reconciliation, anomaly detection, and audit reporting.
• Drive portfolio prioritization through rigorous business cases balancing impact, effort, and risk.
• Lead cross-functional Engineering, Data Science, and platform teams from concept to production with measurable outcomes.
• Raise the bar on responsible AI with Legal, Compliance, and InfoSec, including evals and drift monitoring.
• Scale AI fluency and change management; communicate impact to executive leadership.

What you'll bring

• 8+ years in data science, analytics, or ML, including 3+ years leading high-performing teams.
• Proven record shipping ML and GenAI solutions with measurable business impact.
• Deep expertise in statistical modeling, machine learning, anomaly detection and experimentation.
• Hands-on with Python, SQL, ML frameworks.
• Built GenAI and agentic AI systems from prototype to production.
• Rigor in model evaluation: eval design, drift monitoring, benchmarking, and observability.
• Grounded in data governance, controls, audit, sensitive data, and AI cost optimization.
• Translates ambiguous business problems into technical requirements and partners with engineering.
• Communicates complex models clearly to executives and non-technical audiences.
• Master's or equivalent in a quantitative field preferred; Finance or Compliance experience a plus.

Pay and benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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.

Live Better U is a Walmart-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.

The annual salary range for this position is $110,000.00 - $220,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include

• Stock

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Preferred Qualifications

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location

805 Se Moberly Ln., Bentonville, AR 72712, United States of America