Robotics AI Strategy & Program Lead

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

We are seeking a Robotics AI Strategy & Program Lead to own end-to-end, cross-functional initiatives spanning AI research, robotics engineering, data infrastructure, and manufacturing operations. This role blends strategy, program management, analytics, and hands-on AI tooling: you will structure problems, drive roadmaps, build dashboards, dive into data, leverage and design AI agents, and lead large programs to completion.

You will work day-to-day with AI researchers, roboticists, AI engineers, data engineers, and AI product managers, translating between technical and non-technical stakeholders to ensure we build solutions that are strategic, measurable, and shippable.

Key Responsibilities

Program & project leadership

• Own end-to-end cross-functional projects from problem framing and strategy through execution, measurement, and iteration.
• Program manage large, multi-team initiatives (e.g., new robotics AI capabilities, data/telemetry programs, analytics or tooling rollouts) with clear milestones, owners, and success metrics.
• Build and maintain program roadmaps, dependency maps, and risk registers; proactively identify and resolve blockers.
• Drive operating rhythms (standups, reviews, steering forums) across AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and AI Product Management.

Strategy, storytelling & decision support

• Partner with leadership to define and refine Robotics AI strategy, including problem selection, sequencing of bets, and success metrics.
• Create clear narratives that connect technical work to GM-level business outcomes and manufacturing KPIs.
• Prepare executive-ready presentations and decision docs (SVP and above), highlighting changes, risks, and required decisions.
• Translate complex technical options into simple, structured trade-off frameworks for senior decision-makers.

Data, analytics & tooling

• Define questions, shape logging/telemetry requirements, pull and analyze data using SQL and Python or R, and turn findings into actionable insights.
• Build and maintain dashboards (e.g., Looker, Power BI) tracking program KPIs, model/system performance, deployment health, and operational metrics.
• Partner with Data Engineering and platform teams to leverage Databricks or similar platforms for analytics and reporting.
• Design and orchestrate GenAI-powered workflows and agents to automate repetitive analysis, reporting, and operations where appropriate.

AI, robotics & technical collaboration

• Act as a fluent technical partner to AI researchers, robotics engineers, and data engineers; you don’t need to ship production code, but you understand what makes these systems hard.
• Ensure data collection, labeling, evaluation, and deployment workstreams are aligned with program goals and success metrics.
• Collaborate with AI product managers to connect user needs, technical capabilities, and deployment constraints, especially in manufacturing environments.
• Engage external partners and vendors in AI, robotics, and data tooling where both technical depth and program context are required.

Ways of working & culture

• Champion a learning-oriented, experimentation-driven culture: rapidly explore new tools (GenAI, agents, analytics, low-code platforms) and help the team adopt what works.
• Model hands-on execution—pulling data, building quick dashboards, prototyping agents, and refining decks as needed.
• Continuously improve program management, measurement, and communication practices across the Robotics AI organization.

Qualifications

Required

• Bachelor’s or higher degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related technical field.
• 6+ years of experience in one or more of:
  • Management consulting or corporate strategy
  • Product management or technical program management
  • Data science or data analytics
• Meaningful experience in AI, ML, or robotics (e.g., robotics AI, applied ML, computer vision, intelligent automation).