Senior Manager, Data Science, AI Strategy

Walmart

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$110,000–$220,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $165k
$96k $239k
below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $162,000–$214,500 — the blue band above. At the midpoint, this role pays about $165k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 1019 open roles on FindRole.

Listed pay typically runs $117,000–$220,000 across 507 roles with salary data.

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At a glance

TL;DR · Senior Manager, Data Science, AI Strategy

As the (USA) Senior Manager, Data Science - AI Strategy (Spark Earnings Excellence), you will lead the AI and automation strategy for the Spark Earnings Excellence team. You will own the multi-year vision for automating manual work and applying machine learning to earnings analysis. Your daily responsibilities include architecting scalable data foundations, shipping agentic AI for payment validation and anomaly detection, and leading cross-functional teams from concept to production. You will utilize Python, SQL, and ML frameworks like scikit-learn, tensorflow, and torch to solve complex business problems. The role requires expertise in statistical modeling, drift monitoring, and data governance to ensure responsible AI. You will serve as a strategic bridge, translating ambiguous requirements into technical solutions to improve the accuracy and integrity of driver earnings.

What does a Data Science Manager earn?

Median $211200 from 46 postings across 11 companies.

See salary data

What you'll do

  • Own and drive the multi-year AI and automation vision for the Spark Earnings Excellence pillars.
  • Architect scalable data, platform, and governance foundations to enable AI at an enterprise scale.
  • Ship agentic AI for payment validation, defect root-cause analysis, reconciliation, and anomaly detection.
  • Prioritize the project portfolio by developing business cases that balance impact, effort, and risk.
  • Lead cross-functional engineering and data science teams from initial concept to production.
  • Manage responsible AI initiatives including model evaluations, drift monitoring, and compliance with Legal and InfoSec.
  • Translate ambiguous business problems into technical requirements for engineering partners.
  • Communicate complex model impacts and AI fluency to executive leadership.

What we're looking for

  • 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 experience with Python, SQL, and ML frameworks.
  • Experience building GenAI and agentic AI systems from prototype to production.
  • Rigor in model evaluation, including eval design, drift monitoring, benchmarking, and observability.
  • Knowledge of data governance, controls, audit, sensitive data, and AI cost optimization.
  • Master’s degree in a quantitative field preferred; Finance or Compliance experience a plus (preferred).

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