Walmart Connect
(USA) Senior Manager, Data Science- GenAI
Walmart Connect, Bentonville, Arkansas, United States, 72712
Senior Manager, Data Science – GenAI (USA)
Position Summary:
The Customer Insights and Strategy (CIS) team is seeking a visionary Senior Manager to lead the design, development, and deployment of advanced Generative AI and Agentic AI solutions. In this role, you will spearhead innovation across multi‑agent LLM systems, retrieval‑augmented generation (RAG) pipelines, and scalable AI architectures to power intelligent, context‑aware applications across Walmart’s enterprise. This is a high‑impact opportunity to lead cutting‑edge AI initiatives that redefine how Walmart connects with customers and operates at scale.
What you’ll do:
Develop and scale GenAI strategy by defining a multi‑year vision and enterprise roadmap with a platform‑centric approach to deliver scalable, reusable solutions.
Lead cross‑functional collaboration, influencing stakeholders across Product, Marketing, Operations, and engineering to ensure GenAI initiatives support strategic business goals.
Drive business transformation by embedding GenAI‑driven automation into core workflows to enhance productivity, streamline operations, and accelerate growth across business functions.
Collaborate with top talent, working alongside world‑class engineers to architect and deliver high‑impact GenAI solutions that address Walmart’s evolving business needs.
Identify AI opportunities by proactively assessing business processes to uncover gaps and inefficiencies that can be optimized through AI‑driven solutions.
What you will bring:
Enterprise GenAI leadership experience, successfully driving GenAI strategy and implementations across organizations with deep knowledge of scalable architectures and GenAI concepts.
Cross‑functional influence, ability to align marketing, product, and engineering teams around AI‑driven goals, translating complex technology into business impact.
Innovation and agility, experience leading rapid experimentation with LLMs, prompt engineering, and agentic workflows to unlock new capabilities.
Customer‑centric mindset, strong understanding of consumer behavior and marketing dynamics to ensure AI solutions are grounded in real‑world needs.
Hands‑on technical expertise in building and deploying GenAI solutions using modern frameworks and cloud‑native tools.
Compensation & Benefits:
Base pay range: $110,000 – $220,000 per year. Additional compensation includes annual or quarterly performance bonuses and may include stock options.
Minimum Qualifications:
Bachelor’s degree in computer science, engineering, or related area plus 7 years’ experience in product management.
OR 9 years’ experience in product management or related area.
Preferred Qualifications:
Master’s degree in Computer Science, Engineering, Business Administration, or related field.
6 years’ experience as a product manager, ideally working on consumer‑facing, large‑scale, highly complex B2B/C products.
Knowledge of accessibility best practices, Web Content Accessibility Guidelines (WCAG) 2.2 AA, and experience integrating digital accessibility.
Location:
Bentonville, AR.
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The Customer Insights and Strategy (CIS) team is seeking a visionary Senior Manager to lead the design, development, and deployment of advanced Generative AI and Agentic AI solutions. In this role, you will spearhead innovation across multi‑agent LLM systems, retrieval‑augmented generation (RAG) pipelines, and scalable AI architectures to power intelligent, context‑aware applications across Walmart’s enterprise. This is a high‑impact opportunity to lead cutting‑edge AI initiatives that redefine how Walmart connects with customers and operates at scale.
What you’ll do:
Develop and scale GenAI strategy by defining a multi‑year vision and enterprise roadmap with a platform‑centric approach to deliver scalable, reusable solutions.
Lead cross‑functional collaboration, influencing stakeholders across Product, Marketing, Operations, and engineering to ensure GenAI initiatives support strategic business goals.
Drive business transformation by embedding GenAI‑driven automation into core workflows to enhance productivity, streamline operations, and accelerate growth across business functions.
Collaborate with top talent, working alongside world‑class engineers to architect and deliver high‑impact GenAI solutions that address Walmart’s evolving business needs.
Identify AI opportunities by proactively assessing business processes to uncover gaps and inefficiencies that can be optimized through AI‑driven solutions.
What you will bring:
Enterprise GenAI leadership experience, successfully driving GenAI strategy and implementations across organizations with deep knowledge of scalable architectures and GenAI concepts.
Cross‑functional influence, ability to align marketing, product, and engineering teams around AI‑driven goals, translating complex technology into business impact.
Innovation and agility, experience leading rapid experimentation with LLMs, prompt engineering, and agentic workflows to unlock new capabilities.
Customer‑centric mindset, strong understanding of consumer behavior and marketing dynamics to ensure AI solutions are grounded in real‑world needs.
Hands‑on technical expertise in building and deploying GenAI solutions using modern frameworks and cloud‑native tools.
Compensation & Benefits:
Base pay range: $110,000 – $220,000 per year. Additional compensation includes annual or quarterly performance bonuses and may include stock options.
Minimum Qualifications:
Bachelor’s degree in computer science, engineering, or related area plus 7 years’ experience in product management.
OR 9 years’ experience in product management or related area.
Preferred Qualifications:
Master’s degree in Computer Science, Engineering, Business Administration, or related field.
6 years’ experience as a product manager, ideally working on consumer‑facing, large‑scale, highly complex B2B/C products.
Knowledge of accessibility best practices, Web Content Accessibility Guidelines (WCAG) 2.2 AA, and experience integrating digital accessibility.
Location:
Bentonville, AR.
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