(usa) Senior Manager, Data Science

Walmart · Retail · Sunnyvale, CA +1

Senior Manager, Data Science to lead AI efforts in Generative and Agentic AI, managing a team of Data Scientists, ML Engineers, and Software Engineers. The role focuses on bridging research and production delivery for next-generation AI systems at scale, including multi-agent orchestration, RAG, and LLM fine-tuning.

What you'd actually do

  1. Build and Mentor: Recruit, retain, and develop a world-class team of applied scientists and engineers. Foster a culture of excellence, curiosity, and continuous learning.
  2. Engineering Excellence: Champion modern software development life cycle (SDLC) practices, ensuring high standards for system design, code quality, and maintainable architectures.
  3. Technical Guidance: Provide high-level technical oversight for projects involving multi-agent orchestration, RAG pipelines, and LLM fine-tuning, ensuring scientific rigor and robust engineering.
  4. Stakeholder Management: Partner with Product, Engineering, UX and Business leaders to translate ambiguous business needs into prioritized scientific workstreams.
  5. Deployment & Scalability: Oversee the implementation of scalable deployment patterns for LLM-based services and agentic workflows.

Skills

Required

  • Leadership Experience: 3+ years of experience managing high-performing data science, machine learning, or specialized software engineering teams in a production-focused environment.
  • Technical Depth: Strong foundational knowledge in Generative AI, LLMs, and/or Agentic AI systems, complemented by a solid Software Engineering background.
  • Systems Design: Understanding of distributed systems, API design, and cloud-native deployment patterns for high-scale AI applications.
  • Communication: Exceptional ability to communicate complex scientific and engineering concepts to non-technical stakeholders.
  • Resiliency: You should possess the resilience to navigate a high-uncertainty environment and the empathy required to lead a highly technical team.
  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
  • 7 years' experience in an analytics or related field.

Nice to have

  • 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

What the JD emphasized

  • Generative AI
  • Agentic AI
  • LLMs
  • multi-agent orchestration
  • RAG pipelines
  • LLM fine-tuning
  • scalable deployment patterns
  • agentic workflows

Other signals

  • Generative AI
  • Agentic AI
  • LLMs
  • multi-agent orchestration
  • RAG pipelines
  • LLM fine-tuning
  • scalable deployment patterns
  • agentic workflows