Walmart
(USA) Staff, Technical Program Manager - AI/ML & Data Platforms
Walmart, Bentonville, Arkansas, United States, 72712
Position Summary
Walmart International seeks a Staff Data Technical Program Manager to enterprise-wide data products and Single Source of Truth initiatives. The manager coordinates rollout, ensures products are robust, compliant, and deliver measurable value, working closely with engineering, product, and market teams across the global retail footprint.
Strategic Objectives
Operationalize AI-Enabled SSOT Data Products: Drive rollout of SSOT products enhanced with AI/ML capabilities to unify analytics and enable trusted, scalable insights.
Rationalize & Modernize Ecosystem: Lead migration from legacy assets to AI-enabled SSOT platforms, ensuring intelligent orchestration, observability, and compliance at the infrastructure level.
Accelerate AI/ML & Multi-Agent Frameworks: Deliver enterprise-wide enablement of GenAI, AGI, ASI, and multi-agent systems, embedding them into data and platform delivery.
Drive Market & Partner Engagement: Ensure alignment with regional and global data/AI teams, defining milestones, AI/ML adoption roadmaps, and deployment success metrics.
Support Global AI/ML Initiatives: Provide dedicated TPM leadership for international AI-driven data initiatives, ensuring strong program governance, risk mitigation, and change management.
What you’ll do Program Leadership & Execution
Translate strategic AI/ML and data platform goals into executable delivery plans for assigned products.
Own delivery of data products, coordinating across engineering, product, and market teams to ensure scope clarity, milestone tracking, and market readiness.
Manage program planning, change management, and stakeholder engagement across clusters.
Support phased AI/ML deployments, localization, and compliance readiness for each product.
Ensure disciplined execution and risk mitigation across assigned initiatives.
Data & Platform Infrastructure
Deliver SSOT platforms and data products with embedded observability, billing, metering, and intelligent telemetry.
Ensure infrastructure readiness for AI-first data pipelines and ML workloads.
Implement and maintain security controls, including access management and auditability.
Collaborate with legal, privacy, and security teams to ensure adherence to international regulations (e.g., GDPR, CCPA, LGPD).
Promote adoption of standardized data governance frameworks and access controls.
AI/ML Enablement & Multi-Agent Systems
Partner with Domain TPMs and data science teams to integrate GenAI, AGI, ASI, and multi-agent models into product delivery.
Ensure observability and lifecycle management of AI/ML models within assigned platforms.
Support AI-first design principles and multi-agent orchestration in collaboration with engineering teams.
Govern AI/ML enablement across product clusters, including bias mitigation and model performance tracking.
Cross-Functional Influence
Collaborate with data engineering, platform architects, and business stakeholders to ensure alignment and transparency.
Govern product analytics including usage metrics, incident impact, and stakeholder feedback.
Promote data literacy and usage maturity across assigned teams and markets.
Contribute to TPM best practices and delivery rituals that scale operational efficiency.
Required Skills & Experience
Strong technical acumen in architecture, cloud, security, data modeling, and system integration.
Experience with Agile development methodologies, JIRA/Confluence, and managing throughput across teams.
Proven ability to manage complex programs with cross-functional dependencies.
Excellent communication and stakeholder management skills in international and multi-market contexts.
Analytical, organized, and data-driven mindset with a focus on execution and impact.
What you’ll bring
7+ years of experience in Technical Program Management managing programs and projects, with a focus on enterprise data platforms.
Clear communicator with growing proficiency in systems thinking and ability to escalate risks and dependencies effectively.
Experience collaborating with distributed teams, with awareness of regional compliance requirements.
Experience supporting delivery of SSOT, MDM, or unified data fabric programs, or contributing to software/data transformation efforts within a defined scope.
Working knowledge of cloud and data platforms (e.g., BigQuery, Databricks, DataLake, GCP, Azure), ETL/ELT systems, and reporting/analytics tools.
Familiarity with data contracts, RBAC, and basic concepts of billing and metering, with guidance from Principal TPMs.
Exposure to AI/ML frameworks and GenAI concepts, with ability to support integration efforts led by senior TPMs.
Familiarity with governance tools (e.g., Collibra, Alation, Atlan) and ability to support metadata and policy enforcement under guidance.
Active contributor to TPM communities of practice, with interest in learning and applying best practices.
Proficient in Agile development, JIRA/Confluence, and managing team-level capacity and throughput.
Benefits Competitive pay, performance-based bonus awards, health benefits (medical, vision, dental), 401(k) payroll, paid time off, and education benefit program.
EEO Statement Walmart is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation or other protected characteristics. Paid sick leave laws are met or exceeded, where applicable.
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Strategic Objectives
Operationalize AI-Enabled SSOT Data Products: Drive rollout of SSOT products enhanced with AI/ML capabilities to unify analytics and enable trusted, scalable insights.
Rationalize & Modernize Ecosystem: Lead migration from legacy assets to AI-enabled SSOT platforms, ensuring intelligent orchestration, observability, and compliance at the infrastructure level.
Accelerate AI/ML & Multi-Agent Frameworks: Deliver enterprise-wide enablement of GenAI, AGI, ASI, and multi-agent systems, embedding them into data and platform delivery.
Drive Market & Partner Engagement: Ensure alignment with regional and global data/AI teams, defining milestones, AI/ML adoption roadmaps, and deployment success metrics.
Support Global AI/ML Initiatives: Provide dedicated TPM leadership for international AI-driven data initiatives, ensuring strong program governance, risk mitigation, and change management.
What you’ll do Program Leadership & Execution
Translate strategic AI/ML and data platform goals into executable delivery plans for assigned products.
Own delivery of data products, coordinating across engineering, product, and market teams to ensure scope clarity, milestone tracking, and market readiness.
Manage program planning, change management, and stakeholder engagement across clusters.
Support phased AI/ML deployments, localization, and compliance readiness for each product.
Ensure disciplined execution and risk mitigation across assigned initiatives.
Data & Platform Infrastructure
Deliver SSOT platforms and data products with embedded observability, billing, metering, and intelligent telemetry.
Ensure infrastructure readiness for AI-first data pipelines and ML workloads.
Implement and maintain security controls, including access management and auditability.
Collaborate with legal, privacy, and security teams to ensure adherence to international regulations (e.g., GDPR, CCPA, LGPD).
Promote adoption of standardized data governance frameworks and access controls.
AI/ML Enablement & Multi-Agent Systems
Partner with Domain TPMs and data science teams to integrate GenAI, AGI, ASI, and multi-agent models into product delivery.
Ensure observability and lifecycle management of AI/ML models within assigned platforms.
Support AI-first design principles and multi-agent orchestration in collaboration with engineering teams.
Govern AI/ML enablement across product clusters, including bias mitigation and model performance tracking.
Cross-Functional Influence
Collaborate with data engineering, platform architects, and business stakeholders to ensure alignment and transparency.
Govern product analytics including usage metrics, incident impact, and stakeholder feedback.
Promote data literacy and usage maturity across assigned teams and markets.
Contribute to TPM best practices and delivery rituals that scale operational efficiency.
Required Skills & Experience
Strong technical acumen in architecture, cloud, security, data modeling, and system integration.
Experience with Agile development methodologies, JIRA/Confluence, and managing throughput across teams.
Proven ability to manage complex programs with cross-functional dependencies.
Excellent communication and stakeholder management skills in international and multi-market contexts.
Analytical, organized, and data-driven mindset with a focus on execution and impact.
What you’ll bring
7+ years of experience in Technical Program Management managing programs and projects, with a focus on enterprise data platforms.
Clear communicator with growing proficiency in systems thinking and ability to escalate risks and dependencies effectively.
Experience collaborating with distributed teams, with awareness of regional compliance requirements.
Experience supporting delivery of SSOT, MDM, or unified data fabric programs, or contributing to software/data transformation efforts within a defined scope.
Working knowledge of cloud and data platforms (e.g., BigQuery, Databricks, DataLake, GCP, Azure), ETL/ELT systems, and reporting/analytics tools.
Familiarity with data contracts, RBAC, and basic concepts of billing and metering, with guidance from Principal TPMs.
Exposure to AI/ML frameworks and GenAI concepts, with ability to support integration efforts led by senior TPMs.
Familiarity with governance tools (e.g., Collibra, Alation, Atlan) and ability to support metadata and policy enforcement under guidance.
Active contributor to TPM communities of practice, with interest in learning and applying best practices.
Proficient in Agile development, JIRA/Confluence, and managing team-level capacity and throughput.
Benefits Competitive pay, performance-based bonus awards, health benefits (medical, vision, dental), 401(k) payroll, paid time off, and education benefit program.
EEO Statement Walmart is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation or other protected characteristics. Paid sick leave laws are met or exceeded, where applicable.
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