AI Enterprise Technology Leader

Cooper Standard Automotive; Northville (MI); On-site; USD 210,000 - 270,000; Full time

Job summary

Cooper Standard Automotive seeks an AI Enterprise Technology Leader to define and execute the company’s AI strategy, embedding multi-agent AI into core value-chain functions from quoting to finance. You will own architecture, ROI, and governance to scale AI as the operating system of the business.

The role leads the transformation roadmap, guides vendor decisions, and partners with business leaders on workforce upskilling, change management, and responsible AI practices.

Qualifications

• Experience deploying agentic or generative AI systems at scale inside manufacturing, industrial, or discrete-parts environments.
• Deep knowledge of enterprise systems integration (ERP, PLM, MES, QMS) and building RAG + agent orchestration layers over industrial data.
• Proven ability to quantify ROI and deliver measurable productivity or cost improvements, not just pilots.
• Experience designing human-in-the-loop systems and AI governance frameworks.

Responsibilities

• Develop and maintain a prioritized multi-year AI transformation roadmap with ROI targets and stage-gate criteria.
• Design architecture for multi-agent systems that integrates ERP/PLM/MES/QMS/CRM and enables scale across functions.
• Oversee pilot-to-production transitions including vendor selection and build-vs-buy decisions.
• Drive organizational change to make AI agents primary doers of workflows, with workforce upskilling.
• Establish and operationalize enterprise AI governance in partnership with governance, cybersecurity, legal, and data teams.
• Drive value measurement, lifecycle management, and transparent adoption metrics for enterprise-wide AI.

Skills

Agentic AI systems

Enterprise systems integration

ROI measurement

Human-in-the-loop governance

LLM/agent stacks

MLOps

Tools

ERP

PLM

MES

QMS

CRM

Job description

As a direct report to the President, Fluid Handling Systems and Chief Technology and AI Officer, the AI Enterprise Technology Leader will lead the definition and execution of the company's enterprise AI strategy, with primary focus on embedding multi-agent AI systems into core value-chain functions: business acquisition (requirements analysis, cost estimation, and quoting), engineering design and validation, manufacturing processes, quality management, procurement, program management, account lifecycle management, and core finance functions. Own the detailed strategy, architecture, prioritization, vendor/build decisions, value measurement, and organizational change required to shift from AI experimentation to AI as the operating system of the business.

Specifically, you will be expected to:

• Develop and maintain a prioritized, multi-year AI transformation roadmap that sequences the target functions by value, feasibility, data readiness, and risk, with clear ROI targets and stage-gate criteria.
• Design the technical and operating architecture for multi-agent systems (leverage data foundations, orchestration layer, integration with ERP/PLM/MES/QMS/CRM, human-in-the-loop controls, and governance) that can scale across quoting, engineering, quality, procurement, program management, and finance.
• Lead pilot-to-production transitions, including vendor selection, build-vs-buy decisions, internal capability building, and measurement of cycle-time, cost, quality, and risk outcomes.
• Drive the organizational and process redesign required so that AI agents become the primary doers of defined workflows rather than assistants bolted onto legacy processes; partner with function leaders on workforce transition and upskilling.
• Establish and operationalize enterprise AI governance in partnership with enterprise governance, cybersecurity, legal, compliance, data and architecture teams to ensure AI initiatives align with company policies, standards, and responsible AI practices.
• Drive execution discipline through value measurement, lifecycle management, transparency, adoption metrics, and operational controls that enable AI to scale responsibly across the enterprise.

Qualifications:

• Demonstrated experience deploying agentic or generative AI systems at meaningful scale inside a complex manufacturing, industrial, or discrete-parts environment.
• Deep practical knowledge of enterprise systems integration (ERP, PLM, MES, QMS) and of building reliable RAG + agent orchestration layers on top of messy industrial data.
• Proven track record of delivering measurable productivity, cycle-time, or cost outcomes from AI (not just pilots); comfortable quantifying and defending ROI to a public-company board and CFO.
• Experience designing human-in-the-loop systems and AI governance frameworks.
• Technical fluency in modern LLM/agent stacks, MLOps, evaluation methods, and the practical limitations of current models, combined with business judgment about when not to automate.

Cooper Standard is proud of its diverse workforce and committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, genetic information, physical or mental disability, age, veteran or military status, or any other characteristic protected by applicable law. We are dedicated to creating an environment at work that not only values diversity but also encourages inclusion and a sense of belonging. We firmly believe that a diverse workplace fosters an environment where our employees can flourish and provide superior service to our customers.

Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act, as well as certain state and/or local laws. If you believe you require such assistance to complete our online application or to participate in an interview, you (or someone on your behalf) may request assistance by emailing [e-mail] with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.