Robotics AI Strategy and Program Lead

We are building one of the most ambitious AI and robotics programs in manufacturing, developing physical AI systems capable of autonomously manipulating thousands of parts across a global plant network. Our Robotics AI organization sits at the intersection of cutting‑edge AI research, robotics engineering, data infrastructure, and global manufacturing operations. We don’t just research — we deploy real technology into physical factories at enterprise scale.

We are seeking a high-caliber Robotics AI Strategy & Program Lead to own end-to-end, cross-functional initiatives across AI research, robotics engineering, data infrastructure, and plant operations. In this high-visibility role, you will be embedded with AI researchers, roboticists, data engineers, and AI product managers. You will blend strategic problem framing, technical program management, advanced analytics, and hands‑on AI agent workflows to move multi‑year platform bets and rapid experiments from concept to factory floor.

You are a relentless operator known for cutting through organizational complexity and translating seamlessly between deep technical details and executive-level business outcomes.

• End-to-End Ownership:
  Drive multi-team initiatives (e.g., physical AI capabilities, telemetry pipelines, analytics tooling) from initial framing through execution, measurement, and iteration.
• Roadmaps & Risk Mitigation:
  Build and maintain program roadmaps, dependency maps, and risk registers; proactively clear organizational blockers across IT, Purchasing, Vendors, Finance, HR, and Manufacturing.
• Operating Rhythms:
  Establish and lead standups, reviews, and steering forums with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and Product teams.
• Multi-Threaded Execution:
  Effortlessly context-switch between fast-turnaround daily deliverables and long-horizon platform programs without losing accuracy or detail.

• Strategic Framing:
  Partner with leadership to refine the Robotics AI strategy, including problem selection, sequence of technology bets, and business success metrics.
• Executive Narratives:
  Craft structured storyboards, memos, and executive-ready presentations for SVP-and-above decision-makers, synthesizing complex trade-offs into actionable choices.
• KPI Definition:
  Connect technical AI/robotics milestones directly to enterprise manufacturing outcomes, cycle times, and operational metrics.

• Hands-on Analytics:
  Define data logging/telemetry requirements, run custom SQL queries, analyze datasets using Python or R, and translate raw data into actionable insights.
• Dashboarding & Infrastructure:
  Build and maintain high-impact dashboards (Looker, Power BI) tracking model performance, deployment health, and plant KPIs, using Databricks for underlying reporting.
• AI & Agent Orchestration:
  Design and deploy GenAI-powered workflows and agents to automate reporting, operational workflows, and repetitive analytical tasks.
• Tool Adoption:
  Champion and rapidly adopt modern analytics, tracking (Jira), low/no-code platforms (Power Apps, App Sheet), and AI copilots across the organization.

• Technical Interface:
  Serve as a fluent partner to AI researchers and roboticists — understanding the underlying technical challenges in data collection, labeling, model evaluation, and physical deployment without needing to write production code.
• Product & Vendor Alignment:
  Collaborate with AI Product Managers to map user needs against factory constraints, and interface directly with external robotics/AI partners and vendors.