Lead, Robotics AI Strategy & Programs

Aquent

Warren (MI)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Subsidized health plans
Vision plans
Dental plans
Paid sick leave
Retirement plan with match
Aquent Gymnasium training

Job summary

Aquent leads an ambitious Robotics AI program, blending AI research, robotics engineering, data infrastructure, and plant operations. You will own end-to-end initiatives, coordinate researchers, engineers, and product managers, and drive multi-year platform bets with rapid experiments on the factory floor.

You will define analytics requirements, build dashboards (Looker, Power BI), and orchestrate GenAI workflows while navigating enterprise processes and vendor partnerships to deliver measurable

Qualifications

  • 4+ years in management consulting, corporate strategy, TPM/product management, or data analytics.

Responsibilities

  • Drive end-to-end multi-team initiatives from framing through execution and iteration.
  • Build program roadmaps, dependency maps, and risk registers; unblock blockers across IT, Purchasing, Vendors, Finance, HR, Manufacturing.
  • Lead standups, reviews, and steering forums with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and Product teams.
  • Translate complex technical trade-offs into executive-ready narratives for decision-makers.
  • Define data telemetry requirements and run SQL queries to derive actionable insights.

Skills

Executive storytelling
Strategic program management
Cross-functional leadership
Data analytics (SQL, Python/R)
GenAI tooling familiarity
Jira
Power Apps/AppSheet
Looker/Power BI
Databricks

Education

Bachelor’s or higher degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related technical discipline

Tools

Looker
Power BI
Databricks
Jira
Power Apps
AppSheet

Job description

Aquent leads an ambitious Robotics AI program, blending AI research, robotics engineering, data infrastructure, and plant operations. You will own end-to-end initiatives, coordinate researchers, engineers, and product managers, and drive multi-year platform bets with rapid experiments on the factory floor.

You will define analytics requirements, build dashboards (Looker, Power BI), and orchestrate GenAI workflows while navigating enterprise processes and vendor partnerships to deliver measurable

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