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Robotics AI Strategy & Program Lead

SCMInnovators LLCMountain View, CA🇺🇸United States

Quick overview

Salary$90/hr
SeniorityMid Senior
Work modeOn Site
LocationMountain View, CA, United States
Stakeholder ManagementOnboardingSQLLookerRoboticsComputer VisionDatabricksProcurementPythonGenerative AIMachine LearningPower BIJiraProject ManagementData Analysis

Job description

Robotics AI Strategy & Program Lead

Contract | Long-Term Opportunity
Rate: Up to $90/hr (C2C or W2)
Location: Warren, MI (Preferred) or Mountain View, CA (100% Onsite)

About the Role

We are seeking a highly driven Robotics AI Strategy & Program Lead to drive large-scale initiatives at the intersection of Artificial Intelligence, Robotics, Manufacturing, Data Analytics, and Program Management. This role is ideal for someone who can combine strategic thinking with hands-on execution, working across technical and business teams to deliver impactful AI-powered solutions.

You will partner with AI researchers, robotics engineers, data scientists, manufacturing teams, and business stakeholders to drive complex programs from concept through deployment while ensuring alignment with organizational objectives and measurable outcomes.

Key Responsibilities

Program & Project Leadership

  • Lead end-to-end cross-functional programs from strategy through execution and delivery.
  • Develop project roadmaps, dependency plans, risk assessments, and success metrics.
  • Coordinate multiple workstreams across engineering, operations, analytics, and business teams.
  • Drive program governance, status reviews, executive reporting, and stakeholder communications.
  • Identify and resolve roadblocks to maintain project momentum and delivery timelines.

Strategy & Executive Communication

  • Partner with leadership teams to define AI and robotics initiatives and long-term roadmaps.
  • Build executive-level presentations, decision frameworks, and strategic recommendations.
  • Translate complex technical concepts into actionable business insights.
  • Support prioritization decisions through data-driven analysis and impact assessments.

Data Analytics & AI Enablement

  • Analyze large datasets using SQL, Python, or R to generate actionable recommendations.
  • Build and maintain dashboards using tools such as Power BI, Looker, or similar platforms.
  • Partner with data engineering teams to support analytics, reporting, and KPI measurement.
  • Leverage Generative AI technologies, AI assistants, and agent-based workflows to improve operational efficiency.
  • Define metrics, reporting frameworks, and performance tracking processes.

Technical & Cross-Functional Collaboration

  • Work closely with AI, Machine Learning, Robotics, and Data Engineering teams.
  • Help align data collection, evaluation, deployment, and operational goals.
  • Collaborate with product and engineering teams to balance innovation, scalability, and execution.
  • Interface with external technology vendors and partners when required.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related technical field.
  • 4+ years of experience in one or more of the following:
    • Technical Program Management
    • Product Management
    • Corporate Strategy / Management Consulting
    • Data Science or Data Analytics
  • Experience supporting AI, Machine Learning, Robotics, Computer Vision, or Intelligent Automation initiatives.
  • Proven track record leading complex cross-functional programs in fast-paced environments.
  • Strong analytical and problem-solving capabilities.
  • Experience with:
    • SQL
    • Python or R
    • Power BI, Looker, or similar dashboarding tools
    • Databricks or modern data platforms
    • Jira and project management tools
  • Experience using Generative AI tools, AI copilots, or AI-driven workflows.
  • Excellent executive communication, presentation, and stakeholder management skills.

Preferred Qualifications

  • Experience within Robotics, Manufacturing, Industrial Automation, Logistics, or Physical AI environments.
  • Exposure to AI/ML model evaluation, deployment, and performance measurement.
  • Experience defining KPIs and operational metrics for AI systems.
  • Background working between research teams and production organizations.
  • Knowledge of low-code/no-code platforms such as Power Apps or AppSheet.
  • Experience navigating procurement, security reviews, vendor onboarding, and enterprise operational processes.

Desired Skills

  • Robotics AI
  • Artificial Intelligence
  • Machine Learning
  • Technical Program Management
  • Product Strategy
  • Data Analytics
  • SQL
  • Python
  • Databricks
  • Power BI
  • Looker
  • Generative AI
  • Computer Vision
  • Manufacturing Technology
  • Executive Stakeholder Management
  • Cross-Functional Leadership

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