Robotics AI Strategy and Program Lead [AQ-23563]

Aquent; Warren (MI); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Subsidized health, vision, and dental

Retirement plan with match

Free online training via Aquent Gymnas

Paid sick leave

Job summary

Aquent partners with a leading manufacturing innovator to deploy physical AI systems across a global plant network. You will drive strategic direction, program leadership, and analytics tooling, translating technical work into executive business outcomes and tangible factory-floor impact.

Join a high-visibility team blending AI research, robotics, data infrastructure, and manufacturing operations. You will shape platform bets, implement GenAI workflows, and accelerate multi-year initiatives with

Qualifications

• Bachelor's degree or higher in a technical discipline.

Responsibilities

• Drive multi-team initiatives from framing through execution, measurement, and iteration.
• Build and maintain program roadmaps, dependency maps, and risk registers, clearing blockers across IT, Purchasing, Vendors, Finance, HR, and Manufacturing.
• Establish operating rhythms and lead reviews with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and Product teams.
• Define KPIs linking AI/robotics milestones to enterprise manufacturing outcomes and cycle times.
• Translate complex technical visions into executive-ready narratives and decisions for SVP-and-above audiences.

Skills

Technical program management

Cross-functional leadership

Data analytics

SQL

Python

Power BI

GenAI tooling

Jira

Power Apps

AppSheet

Education

Bachelor's degree in CS/EE/ME or related

Tools

Databricks

Looker

Power BI

Jira

Power Apps

AppSheet

SQL

Python

Job description

Aquent is partnering with a leading innovator in the manufacturing sector, a company at the forefront of developing groundbreaking physical AI systems. This organization is building one of the most ambitious AI and robotics programs globally, aiming to autonomously manipulate thousands of parts across a vast plant network. They are not just researching; they are deploying real, cutting-edge technology into physical factories at an enterprise scale, transforming the future of manufacturing.

Join a pioneering team at the intersection of advanced AI research, robotics engineering, data infrastructure, and global manufacturing operations. In this pivotal role, you will drive the strategic direction and execution of initiatives that deploy physical AI systems across a global plant network. This is a high-visibility opportunity where your impact will be immediate and profound, shaping the future of intelligent automation in manufacturing. You will be instrumental in translating complex technical visions into tangible factory floor realities, making a significant contribution to efficiency, innovation, and operational excellence.

You will operate as a relentless force, adept at navigating organizational complexity and seamlessly translating deep technical details into executive-level business outcomes. 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. Your efforts will move multi‑year platform bets and rapid experiments from concept to factory floor, directly influencing enterprise manufacturing outcomes, cycle times, and operational metrics.

What You Will Deliver

Program & Project Leadership

• Drive multi-team initiatives, such as physical AI capabilities, telemetry pipelines, and analytics tooling, from initial framing through execution, measurement, and iteration.
• Build and maintain comprehensive program roadmaps, dependency maps, and risk registers, proactively clearing organizational blockers across various departments including IT, Purchasing, Vendors, Finance, HR, and Manufacturing.
• Establish and lead critical operating rhythms, including standups, reviews, and steering forums, engaging with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and Product teams.
• Effortlessly context-switch between fast-turnaround daily deliverables and long-horizon platform programs, maintaining accuracy and attention to detail.

Strategy, Storytelling & Decision Support

• Partner with leadership to refine the Robotics AI strategy, including problem selection, the sequence of technology bets, and the definition of business success metrics.
• Craft structured storyboards, memos, and executive-ready presentations for SVP-and-above decision-makers, synthesizing complex trade-offs into actionable choices.
• Define Key Performance Indicators (KPIs), directly connecting technical AI/robotics milestones to enterprise manufacturing outcomes, cycle times, and operational metrics.

Data, Analytics & AI Tooling

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

Technical & Cross-Functional Collaboration

• 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.
• Collaborate with AI Product Managers to map user needs against factory constraints, and interface directly with external robotics/AI partners and vendors.

Must-Have Qualifications

• Bachelor's or higher degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related technical discipline.
• 4+ years of experience across one or more of the following domains:
  • Management consulting or corporate strategy
  • Technical program management (TPM) or product management
  • Data science or advanced data analytics
• Meaningful experience in AI, ML, or robotics (e.g., applied ML, computer vision, robotics AI, or intelligent automation).
• Hands‑on proficiency with SQL, Python or R, and enterprise dashboarding tools (Looker or Power BI) on modern data platforms (Databricks).
• Practical experience using GenAI tools/copilots in daily workflows and designing/orchestrating AI-assisted workflows or agents. Experience with Jira and low/no-code application builders such as Power Apps or AppSheet.
• Proven track record of leading large, ambiguous, cross-functional programs with parallel technical workstreams.
• Ability to modulate communication styles — diving into granular technical discussions with engineers and synthesizing big-picture strategy for senior executives.

Nice-to-Have Qualifications

• Background in physical AI, robotics, or computer vision deployed in manufacturing, industrial, or logistics environments.
• Experience navigating the bridge between AI research and production systems.
• Track record of instrumenting reliability, coverage, throughput, and performance metrics for AI/robotics platforms.
• Hands‑on experience navigating complex enterprise processes (security, procurement, vendor onboarding) to maintain technical momentum.

About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.