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Walmart

Senior Manager, Data Science – AI Strategy

Walmart

. Own and drive the AI and automation strategy for the Spark Earnings Excellence team .

Posted 11/5/2026full-timeBentonville • United StatesSenior💰 $110,000 - $220,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in AI and automation strategy, with a strong focus on machine learning, data governance, and the ability to communicate complex technical concepts to diverse audiences. Proven track record in leading high-performing teams and delivering impactful AI solutions in enterprise environments.

Highest-signal resume keywords
AI And Automation StrategyMachine Learning SolutionsData GovernancePython And SQL ProficiencyTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ScienceStatistical ModelingAnomaly DetectionExperimentationModel EvaluationDrift MonitoringBenchmarkingObservabilityGenAI Systems DevelopmentOptimization Models
Soft Skills
CommunicationChange ManagementStrategic Partnership
Tools & Technologies
PythonSQLML FrameworksScikit-LearnTensorFlowTorchSparkScalaR
Industry Keywords
FinanceComplianceData GovernanceAuditAI Cost OptimizationDigital Accessibility

Tech Stack

Tools & technologies
PythonScalaScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Own and drive the AI and automation strategy for the Spark Earnings Excellence team
  • Identify high-impact opportunities to automate manual work and apply AI/ML to earnings analysis
  • Partner with business and technology teams to deliver AI and automation solutions
  • Serve as a strategic bridge between business users and technology teams
  • Embed AI across the team's work
  • Set and own the multi-year AI and automation vision across Spark Earnings Excellence pillars
  • Architect scalable data, platform, and governance foundations for enterprise-scale AI
  • Ship agentic AI for payment validation, defect root-cause analysis, reconciliation, anomaly detection, and audit reporting
  • Prioritize the portfolio through business cases balancing impact, effort, and risk
  • Lead Engineering, Data Science, and platform teams from concept through production with measurable outcomes
  • Advance responsible AI with Legal, Compliance, and InfoSec, including evaluations and drift monitoring
  • Scale AI fluency and change management
  • Communicate impact to executive leadership
  • Support the Spark Earnings Excellence team's mission of ensuring the accuracy, integrity, and quality of driver earnings weekly

Requirements

What you’ll need
  • 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
  • Expertise in statistical modeling, machine learning, anomaly detection, and experimentation
  • Hands-on experience with Python, SQL, and ML frameworks
  • Experience building GenAI and agentic AI systems from prototype to production
  • Experience with model evaluation, eval design, drift monitoring, benchmarking, and observability
  • Knowledge of data governance, controls, audit, sensitive data, and AI cost optimization
  • Ability to translate ambiguous business problems into technical requirements and partner with engineering
  • Ability to communicate complex models clearly to executives and non-technical audiences
  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 5 years' experience in an analytics-related field; OR Master's degree in one of these fields and 3 years' experience; OR 7 years' experience in an analytics or related field
  • Master's or equivalent in a quantitative field preferred
  • Finance or Compliance experience a plus
  • Preferred: data science, machine learning, optimization models, supervisory experience, open-source frameworks such as scikit-learn, TensorFlow, or Torch
  • Preferred: successful completion of assessments in Python, Spark, Scala, or R
  • Preferred: knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices

Benefits

Comp & perks
  • Competitive pay
  • Performance-based bonus awards
  • Medical, vision and dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO, including sick leave
  • Parental leave
  • Family care leave
  • Bereavement leave
  • Jury duty leave
  • Voting leave
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
  • Live Better U Walmart-paid education benefit, including tuition, books, and fees for eligible programs
  • High school completion, bachelor's degree, English Language Learning, and short-form certificate programs through Live Better U