Director, Technical Program Management - AI/ML & Data Platforms
Listed on 2026-01-02
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IT/Tech
AI Engineer, Data Engineer
Position Summary...What you'll do...
Walmart is a multinational people led tech powered omnichannel retailer with over 2.2M associates. Walmart’s International team supports Walmart’s global footprint—spanning over 5,200 retail units across 23 countries. We build software platforms that help Walmart procure high-quality products at the best value and ensure they reach customers globally, enabling them to save money and live better.
We are a globally integrated data and AI organization within Walmart International, driving transformation through unified, trusted data products that power smarter decisions, reduce duplication, strengthen governance, and unlock better, more consistent customer experiences mission spans across Canada, China, Chile, Central America, India, Mexico, and South Africa —where we support omnichannel retail operations and enable intelligent data platforms tailored to diverse market needs.
We are seeking a visionary Director Data Technical Program Manger (TPM), with a minimum of 12 years of experience to lead the strategic execution of our enterprise-wide data transformation. This role will lead a high-impact team responsible for architecting and operationalizing our Single Source of Truth (SSOT) data platform, unifying fragmented data ecosystems, and driving scalable delivery of trusted, governed data products across global markets.
As part of Walmart’s global data transformation, this role will support all SPA (Strategic Platform Acceleration) and WCP (Walmart Commerce Platform) initiatives to promote parity with the U.S. across all international markets—including Canada, Central America, Chile, and Mexico.
As a senior leader in the TPM function, your mission will be to orchestrate and optimize the delivery of enterprise data programs and platforms, enabling secure, scalable, and governed data access and analytics for all markets. The Director Data TPM acts as the connective tissue between data engineering, data science, product, TPM, and market teams—ensuring that data products are robust, compliant, and deliver measurable business value.
You will influence how data is governed, delivered, and leveraged across platforms, and lead Data TPMs to deliver with clarity and discipline. You will be instrumental in shaping the future of data enablement, governance, and AI/ML integration at scale.
You should bring a strong grounding in technical architecture, systems design, and data architecture and modeling as well as experience with large scale software or data transformations. You should bring relevant program experience with a strong ability to influence cross-functional teams and drive clarity in a global, fast-paced environment.
Strategic Objectives- Operationalize AI-Enabled SSOT Data Products: Drive rollout of Single Source of Truth (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, clearly 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.
Program Leadership & Execution
- Own the end-to-end strategy, alignment, and execution oversight for enterprise-wide AI/ML and data platform initiatives.
- Lead multi-country rollouts, organizational model design, and integration of multi-agent frameworks.
- Define and operationalize success metrics for platform adoption, data quality, and strategic impact.
- Drive systemic risk management and address challenges around latency, observability, and usage patterns.
- Establish reusable TPM frameworks and rituals to scale delivery…
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