Senior Manager, Automation Engineering
Walmart · Bentonville, AR · 1 wk ago
On-siteInformation Technology$110k–$220k/yrFull-time
About the role
As Senior Manager, Automation Engineering, you will own the end-to-end development and delivery of APD’s performance reporting, strategic storytelling, and AI-powered communication capabilities. You are equal parts engineer, strategist, and storyteller. You build strategies and use visual and AI tools to turn raw automation data into compelling narratives that drive executive decisions. You will be the person who “connects the dots” — breaking down complex priorities into smart, brief, leadership-ready communications.
- Build and own the APD performance narrative — translating complex automation data into executive-ready decks, white papers, and strategic briefs that land with Walmart leadership all the way up to the board of directors.
- Serve as the APD team’s AI expert for content creation — leveraging generative AI to produce presentation decks, video summaries, written reports, and data visualizations at speed and quality.
- Develop and maintain templatized reporting frameworks for recurring deliverables (WBR, MBR, eTSM, eMSM, QBR) that are consistent, polished, and leadership-ready.
- Create white papers and thought-leadership content on APD automation capabilities, performance outcomes, and strategic direction.
- Own the end-to-end reporting pipeline — from raw data to executive presentation — ensuring nothing falls through the cracks across weekly (WBR, Memo), monthly (MBR, eMSM), and quarterly (QBR, eTSM) cadences.
- Track and communicate the APD roadmap using AI-powered tools — making status, risks, dependencies, and milestones visible and actionable.
- Capture what’s important — distill complex program activities into “smart briefs” that give leadership the right information at the right altitude.
- Connect the dots across workstreams (Design, Product, Process, Automation) to surface cross-cutting insights and dependencies.
- Automation Engineering & Strategy Support cross-site performance benchmarking and health scoring of automation sub-systems across 19+ active APD sites.
- Contribute to long-range automation investment modeling and capital request preparation (eTSM → RLM → REC pipeline).
- Partner with vendor teams (Knapp, Symbotic) on performance tuning, ECM updates, and QBR preparation.
- Support UPLH modeling and continuous improvement diagnostics that drive the path to UPLH > 60.
What You'll Do
AI-Powered Storytelling & Executive Communication
- Build and own the APD performance narrative — translating complex automation data into executive-ready decks, white papers, and strategic briefs that land with Walmart leadership all the way up to the board of directors.
- Serve as the APD team’s AI expert for content creation — leveraging generative AI to produce presentation decks, video summaries, written reports, and data visualizations at speed and quality.
- Create white papers and thought-leadership content on APD automation capabilities, performance outcomes, and strategic direction.
AI Tools, Agents & Prompting
- Be the team’s prompting and AI tooling expert — identifying, evaluating, and deploying AI tools for communication, roadmap tracking, content generation, and performance analysis.
- Build AI agents and workflows that automate recurring reporting tasks, data pulls, and narrative generation — reducing manual effort and increasing quality.
- Leverage AI to produce video content, animated explainers, and multimedia assets that make APD’s story compelling across all formats.
- Stay current on enterprise AI capabilities (Element LLM Gateway, internal tools) and bring best practices to the team.
Reporting, Roadmap Tracking & End-to-End Connectivity
- Own the end-to-end reporting pipeline — from raw data to executive presentation — ensuring nothing falls through the cracks across weekly (WBR, Memo), monthly (MBR, eMSM), and quarterly (QBR, eTSM) cadences.
- Track and communicate the APD roadmap using AI-powered tools — making status, risks, dependencies, and milestones visible and actionable.
- Capture what’s important — distill complex program activities into “smart briefs” that give leadership the right information at the right altitude.
- Connect the dots across workstreams (Design, Product, Process, Automation) to surface cross-cutting insights and dependencies.
Automation Engineering & Strategy Support
- Contribute to long-range automation investment modeling and capital request preparation (eTSM → RLM → REC pipeline).
- Partner with vendor teams (Knapp, Symbotic) on performance tuning, ECM updates, and QBR preparation.
- Support UPLH modeling and continuous improvement diagnostics that drive the path to UPLH > 60.
Minimum Qualifications
- Bachelor’s degree in engineering, Business, Design/Human-computer Interaction (HCI), Computer Science, Data Science, Supply Chain Management, or related field.
- 5+ years of experience in automation engineering, data analytics, management consulting, strategy operations, or a related technical/strategic role.
- 2+ years of experience creating executive-level presentations, reports, or strategic communications.
- Demonstrated proficiency with AI/ML tools for content generation, data analysis, or workflow automation (e.g., LLMs, generative AI platforms, AI agents).
- Strong proficiency in data visualization tools (Power BI, Tableau, or equivalent) and presentation software.
- Experience working with cross-functional teams in a matrixed organization.
- Must provide a portfolio of executive-ready writing and presentation materials prior to Panel interview.
Preferred Qualifications
- Master’s degree in Engineering, MBA, or related advanced degree.
- Experience with automation, fulfillment, or robotics systems.
- Experience building AI agents or automated workflows for reporting and content generation.
- Experience with financial modeling, P&L analysis, or capital request processes.
- Experience writing white papers, thought-leadership articles, or technical strategy documents.
- Prompting expertise — skilled at crafting AI prompts that produce high-quality, context-aware outputs.
- Video production or multimedia content creation experience (AI-generated or traditional).