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Technical Program Manager - AI/ML & Data Platforms
Job in
Bentonville, Benton County, Arkansas, 72712, USA
Listed on 2026-01-02
Listing for:
Walmart
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
AI Engineer, Data Science Manager
Job Description & How to Apply Below
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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…
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