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Senior Manager, Data Science

$143k - $286k

Walmart

Position Summary...

What you'll do...

This Senior Manager-level role is a strategic technical leader within Walmart’s eCommerce Analytics Platform & Engineering team. This Senior Manager, Data Scientist will drive the vision, architecture, and implementation of Walmart’s next-generation AI infrastructure, GenAI platforms, and engineering capabilities that power intelligent automation, AI agents, and real-time decisioning at global scale.

You will lead the end-to-end design of high-performance AI systems—including model training and serving infrastructure, distributed inference pipelines, data and feature platforms, retrieval/grounding services, and automation frameworks that support safe, reliable, and scalable GenAI across the enterprise.

This role requires a rare combination of deep technical expertise, systems design excellence, and the ability to influence engineering, data science, and product teams at the highest levels.

Responsibilities

AI Infrastructure Architecture & Leadership • Serve as Walmart’s principal architect for enterprise AI infrastructure, defining patterns for distributed training, vector retrieval systems, LLM inference optimization, and scalable agent backends.

• Lead design of GenAI platform components, including: o Orchestration and lifecycle management for LLMs and multimodal models o Retrieval-augmented generation (RAG) pipelines o Vector search and embedding pipelines o Model serving, autoscaling, and high-availability inference systems

• Architect end-to-end platforms using Vertex AI, Google Cloud AI infrastructure, and Azure AI services where applicable. GenAI Platform Development & Engineering • Build and evolve core GenAI platform capabilities used across eCommerce Analytics: o Agent orchestration and backend frameworks o Tool/action routing services o System prompts, grounding, and context management o Observability, evaluation, safety, and feedback loops • Partner with product engineering teams to integrate GenAI solutions into production facing commerce, analytics, and automation experiences. • Lead strategic evaluations of emerging AI technologies and drive their adoption across Walmart’s AI ecosystem.

Distributed Systems, AI Performance & Scale

• Architect and optimize high-scale data and inference pipelines running on Dataproc, Kubernetes, Airflow, and cloud-native distributed systems.

• Improve performance of AI workloads through advanced techniques: o Parallelized preprocessing & feature generation o Distributed training optimization o Token-level and batch-level inference acceleration o Memory and compute efficiency strategies for LLMs

• Lead operational excellence across AI systems including monitoring, incident response, load forecasting, and automated self-healing. AI/ML Engineering Standards & Technical Influence

• Define engineering standards for AI observability, versioning, deployment, model telemetry, and responsible AI integrations.

• Mentor senior-level data scientists and engineers on best practices in AI infrastructure, scalable ML engineering, and GenAI systems design.

• Provide domain expertise to help shape Walmart’s enterprise-wide strategies for AI adoption, AI governance, and future-facing platform technology. Skills & Experience AI Infrastructure & Distributed Systems Expertise

• Deep experience architecting distributed AI/ML systems, including training clusters, inference serving layers, and retrieval-augmented systems.

• Expert-level understanding of large-scale compute, networking, cluster orchestration, cloud infrastructure, and performance engineering.

• Hands-on experience building and optimizing: o LLM inference systems o Embedding & vector search pipelines o Model serving & batch/streaming inference o Real-time AI agent backends AI/ML Platform Tools & Cloud Technologies

• Vertex AI (Pipelines, Predictions, Feature Store, Vector Search, Search, Model Registry, Workbench)

• Google Cloud AI infrastructure, SDKs, Cloud Build, Artifact Registry, IAM, Cloud Run, Cloud Functions

• BigQuery, Presto, Cloud SQL, Cassandra, MongoDB

• Graph DB technologies such as Neo4j for relationship modeling and knowledge graph based retrieval

• Microsoft Fabric & Microsoft Foundry AI services (preferred) Programming & Engineering Skills

• Strong proficiency in Python and SQL; experience with Scala, Java, R, or Bash is a plus.

• Experience building CI/CD systems for AI workloads and cloud-native observability frameworks.

• Strong familiarity with ML engineering and model evaluation frameworks. Education & Experience

• 8–12+ years of experience in AI infrastructure, ML platform engineering, large-scale distributed systems, or cloud-based AI/ML environments.

• Graduate degree (MS or PhD) in a quantitative or engineering discipline preferred.

• Demonstrated experience driving enterprise-scale AI strategy, platform architecture, and cross-functional engineering initiatives.

• A proven track record enabling AI and automation at scale through strong architectural vision, experimentation, and technical leadership

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart ( .

San Bruno, California US-08848 | Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00

Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00

Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

  • Stock

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

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.

Primary Location...

850 Cherry Ave, San Bruno, CA 94066-3031, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

Vacancy posted 4 days ago
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