(USA) Senior Manager, Data Science

Walmart

Quick summary

Work type
On-site
Location
Sunnyvale, CA · Bentonville, AR
Salary
$143,000–$286,000 / yr
Posted
53 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $214k
$89k most similar roles pay here $307k

This role pays more than 83% of similar roles. Most pay $144,487–$202,362 — the shaded band above. At the midpoint, this role pays about $214k versus about $173k 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 529 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 523 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Senior Manager, Data Science

As a Senior Manager of Data Science at Walmart’s Scintilla team, you will lead a high-performing group focused on generative and agentic AI, driving the development of next-generation retail solutions. Your responsibilities include recruiting and mentoring top talent, ensuring engineering excellence through modern SDLC practices, providing technical oversight for complex projects, and collaborating with cross-functional teams to translate business needs into actionable AI initiatives. You will work extensively with technologies such as large language models (LLMs), multi-agent systems, and RAG pipelines, requiring a deep understanding of distributed systems and cloud-native deployment patterns. This role demands strong leadership skills, technical expertise in generative and agentic AI, and the ability to communicate complex concepts effectively across various stakeholders.

What you'll do

  • Lead recruitment and development of a high-performing team of data scientists and engineers.
  • Ensure adherence to modern SDLC practices for system design and code quality.
  • Provide technical oversight for complex AI projects, including multi-agent systems and LLM fine-tuning.
  • Translate business needs into prioritized scientific workstreams with cross-functional teams.
  • Oversee scalable deployment patterns for large-scale AI services and agentic workflows.

What we're looking for

  • Over 3 years of experience managing high-performing data science or machine learning teams in production environments.
  • Strong expertise in Generative AI, LLMs, Agentic AI systems, and software engineering principles.
  • Deep understanding of distributed systems, API design, and cloud-native deployment patterns for large-scale applications.
  • Ability to provide technical oversight for complex projects involving multi-agent orchestration and RAG pipelines.
  • Excellent communication skills to translate business needs into scientific workstreams and explain technical concepts clearly.
  • Resilient leadership with empathy to guide a highly technical team through high-uncertainty environments.

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