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Senior Manager, Technical Program Management - Marketing Transformation & AI
Job in
Bentonville, Benton County, Arkansas, 72716, USA
Listed on 2026-06-25
Listing for:
Wal-Mart
Full Time
position Listed on 2026-06-25
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Walmart Marketing is undergoing one of the most significant transformations in its history - modernizing how we measure, experiment, and deploy AI and technology to reach customers more effectively and efficiently. This Staff Technical Program Manager role sits at the center of that transformation, owning end-to-end program execution across three interconnected work streams:
Measurement (Next-Gen Mixed-Media Modeling, data taxonomy, attribution), Experimentation (A/B testing infrastructure, governance, and learning ambition framework), and AI & Mar Tech (agentic AI systems, prototype-to-production pipelines, Mar Tech fitness, and marketing workflow automation).
You will operate as the connective tissue between data scientists, ML engineers, marketing analysts, Mar Tech engineers, and executive stakeholders - translating complex technical work into clear business outcomes and ensuring that critical FY26/FY27 milestones are delivered on time, with measurable impact. This is not a seat-warmer role. You will drive the engine.
What you'll do...
1. Transformation Program Ownership End-to-End Workstream Program Management:
Own and maintain program plans, milestone tracking, dependency maps, and status reporting across the Measurement, Experimentation, and AI & Mar Tech work streams. Drive quarterly planning cycles, define critical-path milestones, and coordinate "inform" and "decision" moments with workstream sponsors and executive leadership. Impact Metrics & Measurement Standards:
Drive development and operationalization of Marketing Transformation's KPI taxonomy - anchored to Associate Hours Reclaimed (AHR) and marketing effectiveness metrics. Build and maintain the monthly impact dashboard and deliver leadership-ready reporting on transformation ROI. 2. Technical Cross-Functional Coordination Cross-Team Alignment & Delivery:
Serve as the connective tissue across data scientists, ML engineers, data engineers, Mar Tech engineers, and marketing analysts - facilitating design discussions, resolving SME access issues, clarifying ownership gaps, and ensuring alignment on technical architecture and delivery commitments. Partner within the Walmart PM/EM/TPM Triad model to balance business and engineering priorities. Data Quality & Pipeline Governance:
Collaborate with data scientists, ML engineers, and data engineers to ensure high data quality, model accuracy, and system performance. Coordinate delivery of data pipeline automation and AI-powered validation capabilities - including anomaly detection for MM data pipelines and next-gen MM pipeline enhancements. Mar Tech Fitness & Data Readiness:
Coordinate the Mar Tech Fitness Audit (Phase 1 and Phase 2 post-taxonomy), tool-by-tool capability assessment, and prioritized recommendations delivery. Support the Marketing Data Readiness Scorecard development and data governance operating model definition.
3. Stakeholder Communication & Executive Reporting Executive Briefings & Reporting:
Translate technical systems language and KPIs (e.g., model Accuracy, Precision, Recall, RMSE, AHR baselines) into business communication updates and project success metrics for executive Marketing leadership. Develop and maintain weekly/bi-weekly written status reporting, milestone trackers, and executive readout decks. Change Management & Enablement Comms:
Drive change management communication planning across taxonomy launches, next-gen model rollouts, and experimentation tool deployments - including audience segmentation, comms timing, launch announcements, onboarding trainings, and self-serve FAQs. Partner with the Marketing AI Knowledge Network to align enablement comms across ARC Hours, newsletter, and AI Spotlight Sessions.
4. Risk Management & Process Development Proactive Risk Identification & Mitigation:
Proactively identify and manage risks related to data privacy, model bias, AI governance, performance degradation, timeline slippage, and resource constraints. Own risk logging, mitigation planning, and escalation paths. Ensure ethical and responsible AI deployment across marketing measurement and agentic systems. Tools, Workflows & Agile Process…
Position Requirements
10+ Years
work experience
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