What are the responsibilities and job description for the AI Strategy Leader position at Cooper Standard?
We are on the lookout for a pioneering and technically sophisticated AI Leader to spearhead the architecture, deployment, and governance of cutting-edge Generative AI (Gen AI) solutions across our diverse business landscape. This role is crucial in defining the enterprise-wide Gen AI strategy, fostering innovation, and ensuring the responsible and impactful adoption of AI technologies that drive significant business outcomes.
Key Responsibilities
- Strategic Visionary: Define and execute a forward-thinking Gen AI strategy that aligns with enterprise objectives and cross-functional priorities, ensuring alignment with the latest advancements in AI technology
- Architectural Excellence: Design and implement scalable Gen AI solutions that cater to a wide array of use cases across critical departments, including operations, finance, HR, marketing, and customer service
- Lifecycle Leadership: Oversee the complete lifecycle of Gen AI initiatives—from ideation and model selection to deployment, monitoring, and iterative enhancement—ensuring best practices are followed at every stage
- Collaborative Innovator: Partner with business leaders, data science teams, and IT to pinpoint high-impact opportunities, ensuring seamless integration of AI solutions into existing workflows
- Executive Communication: Articulate Gen AI roadmaps, performance metrics, and strategic insights to executive stakeholders and the Global Leadership Team, translating complex AI concepts into clear, actionable strategies
- Governance Advocate: Establish robust governance frameworks for ethical AI use, model explainability, and compliance with data privacy regulations, ensuring responsible AI practices are embedded in the organization
- Mentorship and Development: Build and mentor a high-performing, multidisciplinary team of AI engineers, data scientists, and domain experts, fostering a culture of innovation and readiness for enterprise-scale AI deployment
Required Qualifications
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- Experience: A minimum of 5 years of experience in AI/ML or data technologies, with a strong emphasis on Generative AI technologies and large-scale enterprise implementations
- Technical Proficiency: Expertise in Gen AI frameworks (e.g., OpenAI, Hugging Face, LangChain), cloud platforms, and advanced data engineering tools
- Communication Skills: Proven ability to distill complex AI concepts into actionable insights for diverse audiences, including C-suite executives
- Leadership Experience: Demonstrated experience in leading cross-functional teams and driving AI adoption across various business domains
- Methodological Familiarity: Knowledge of agile methodologies and enterprise architecture principle
Preferred Skills
- Deep Domain Knowledge: In-depth understanding of Gen AI use cases such as content generation, summarization, code generation, and conversational AI
- Ethical AI Expertise: Strong background in responsible AI practices, including bias mitigation, model transparency, and ethical deployment
- Global Perspective: Experience working in global, multicultural environments and managing distributed teams effectively
Work Environment
- Flexible Options: Enjoy flexible hybrid or remote work arrangements tailored to your needs
- Travel Opportunities: Engage in occasional travel for leadership summits, strategic workshops, and cross-functional alignment sessions
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