Group Director, Data Stewardship

Reference: R-2587710Posted: 2026-07-27Location: BENTONVILLE, AR, United StatesSalary: $130000 - $260000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeLead the enterprise People Master Data ManagementPartner with Global People, Technology, and business leaders to drive People Master Data Management strategy by establishing governance, standards, and harmonization processes that ensure trusted, secure, and high-quality workforce data across global markets. Lead Enterprise People Data ArchitectureSet the architectural vision and standards for the People data platform, spanning ingestion, integration, storage, pipelines, and serving layers, to deliver a scalable, secure, and cost-efficient foundation for analytics, AI, and enterprise reporting across global markets. Lead Enterprise People Data ModelingEstablish enterprise data modeling standards, including conceptual, logical, and physical models, dimensional and semantic models, and canonical schemas, so that workforce data is consistent, reusable, and interoperable across ontology, master data, and downstream analytics and AI products. Own Data Quality, Governance, and Responsible AIEstablish standards for ontology design, taxonomy governance, metadata quality, lineage, stewardship, measurement, and model governance. Ensure data science and AI systems are explainable, reliable, monitored, auditable, and aligned with Walmart’s standards for integrity, privacy, compliance, and responsible technology use. Deliver Ad-hoc and Rapid-Response Data SolutionsStand up a rapid-response capability for high-priority, time-sensitive business questions that fall outside standing roadmaps. Balance speed with quality through clear intake, prioritization, and reusable patterns, and recurring ad-hoc needs back into productized data, modeling, and platform investments. Drive Business Impact and Executive AlignmentPartner with senior leaders across product, engineering and business teams to identify high-value opportunities, define success metrics, build business cases, and deliver measurable ROI. Communicate complex technical concepts clearly to executive, technical, and non-technical audiences. Scale Teams, Talent, and Operating ModelsLead through a leadership team of Senior Directors and Directors spanning Data Architecture, Data Modeling, Data Governance, and Ad-hoc Solutions. Build and develop world-class data architects, data modelers, data stewards and data strategists and set the operating model that allocates talent across these pillars. Create a high-performance culture through hiring, coaching, mentoring, succession planning, capability building, and clear accountability. What You’ll Bring...Minimum Qualifications12+ years of experience in data engineering, data stewardship, data platforms, or related technical domains.  6+ years of people leadership experience, including leading other leaders (e.g., Senior Directors, Directors, and managers) across multi-disciplinary data teams.  Proven success defining strategy and delivering enterprise-scale data stewardship.  Deep understanding of data architecture, data modeling (conceptual, logical, physical, and dimensional), taxonomy governance, semantic modeling, metadata, data quality, entity resolution, and data governance.  Experience partnering with product, engineering, business, governance, and executive stakeholders to turn ambiguous business problems into scalable technical solutions.  Demonstrated ability to communicate technical strategy, tradeoffs, risks, and business impact to senior executives.  Track record of building inclusive, high-performing teams and developing future leaders.  Preferred QualificationsAdvanced degree in Computer Science, Data Science, Statistics, Mathematics, Information Science, Computational Linguistics, AI, Machine Learning, or related fields.  Experience in retail, e-commerce, marketplace, product catalog, search, personalization, merchandising, supply chain, advertising, or large-scale consumer technology.  Experience applying generative AI, LLMs, RAG, vector search, agentic workflows, or embeddings to enterprise data, product data, or knowledge systems.  Experience with large-scale data ecosystems and data modeling/architecture tooling such as Spark, Python, SQL, dimensional modeling, data warehousing and Lakehouse architectures, cloud platforms, distributed data systems, MLOps platforms, and model governance tools.  Strong record of responsible AI implementation, including fairness, transparency, explainability, privacy, compliance, monitoring, and risk management.  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. The annual salary range for this position is $130,000.00 - $260,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockSummaryAt Walmart, data and AI shape decisions that improve experiences for millions of customers, members, and associates. Group Director, People Data Stewardship will define and scale the Walmart People team's enterprise data foundation, spanning master data management, data strategy and platform governance. This leader will set the multi-year vision for data products and AI capabilities, lead high-performing teams, and partner with product, engineering and executive stakeholders to deliver measurable business impact at enterprise scale. About the Team... The Workforce Intelligence & Insights team is Walmart's enterprise People Analytics organization, supporting workforce decisions for more than 2.1 million associates worldwide. Our team helps answer critical questions across hiring, development, workforce planning, retention, total rewards, and organizational effectiveness. By combining advanced analytics, AI, labor market intelligence, and deep business partnerships, we help leaders better understand their workforce and navigate complex decisions with confidence, keeping associates at the center of every decision. We work side by side with partners across the business to turn data into action, delivering insights that help shape the future of work at Walmart.Minimum qualifications["Option 1: Bachelor's degree in Business, Mathematics, Finance, Computer Science, Data Architecture, or related field and 8 years' experience in\ndata stewardship, data management, database administration, data analytics, or related field. Option 2: 10 years’ experience in data stewardship,\ndata management, database administration, data analytics, or related field. Option 3: Master's degree in Business, Mathematics, Finance,\nComputer Science, Data Architecture, or related field and 6 years' experience in in data stewardship, data management, database administration,\ndata analytics, or related field.\n4 years’ supervisory experience."]Preferred qualifications["Supervisory", "Data Management certification (for example, Certified Data Management Professional)", "Master's degree in Mathematics, Finance, Computer Science, Data Architecture", "Driving taxonomy development and application particularly with large and complex sets of information", "Industry experience (for example, retail, supply chain, eCommerce, healthcare)"]