(USA) Senior Manager, Data Science

Walmart • Bentonville, AR

1d

About The Position

Sam's Club Innovation & Gen AI is building the technology that will define how our members shop and how our associate’s work. We develop new capabilities that make the Sam's Club experience seamless for members and more efficient for associates—at home office and across our 600+ clubs. As part of this team, you will work on frameworks and applications used by both Associates and Members, design and ship state-of-the-art solutions in-house and with strategic partners and help shape our rapidly evolving Gen AI and innovation ecosystem. You will have the opportunity to work on high-impact, pioneering solutions and to be at the forefront of retail innovation and Gen AI. You are comfortable working in a fast-moving, cross-functional environment; you can translate business and operations needs into robust technical designs; and you are motivated by building agentic solutions that improve member experience and associate productivity at scale. We are seeking a Senior Manager, AI Agentic Systems & Orchestration to lead the strategy, development, and deployment of next‑generation agentic AI solutions. You will guide a team of engineers and applied scientists in building scalable AI workflows, orchestrated agent systems, and autonomous capabilities that transform retail and operations processes. This role is ideal for a leader with both deep technical expertise and strong organizational influence.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Leadership & Strategy Define and drive the long-term vision for agentic AI, orchestration frameworks, and autonomous workflow platforms. Lead and grow a high-performing team of engineers and applied scientists. Collaborate with senior stakeholders across engineering, product, and operations to align roadmap and strategic priorities.
• Technical Direction & Architecture Architect large-scale agentic workflows, multi-agent systems, and orchestration layers. Guide selection and adoption of frameworks such as LangGraph, MCP, A2A, Camunda, and others. Oversee development of RAG and RAG-for-tools systems enabling high-quality, grounded reasoning.
• Program & Delivery Oversight Lead end-to-end delivery of agent-based and orchestration-driven solutions. Create engineering best practices for agentic workflows and autonomous systems. Ensure consistent delivery, quality, and scalability across implementations.
• Cross-Functional Partnership Translate operational challenges into AI-driven workflow automation opportunities. Collaborate with product managers to shape requirements, prioritize work, and evaluate ROI. Partner with operations leaders to ensure solutions address real-world needs.
• Applied AI Innovation Champion innovation in multi-agent coordination, planning algorithms, reinforcement learning, and human‑in‑the‑loop AI. Drive experimentation, evaluation, and rapid prototyping of new techniques and platforms. Advocate for responsible, safe, and scalable applied AI practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager