AI Enterprise Technology Leader

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 companys 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.

Position Type:

Regular

Additional Locations:

Additional Information:

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. Because we recognize and value the range of ways in which people acquire experiences whether personal professional or via education or volunteerism we invite interested applicants to evaluate the key duties and requirements and apply for any opportunities that fit your experience and qualifications. 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 with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.

Remote Status:

Hybrid