Cooper Standard
AI Strategy Leader 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 principles
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
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
Seniority Level Director
Employment Type Full‑time
Job Function Information Technology, Consulting, and Manufacturing; Industries: IT Services and IT Consulting
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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 principles
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
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
Seniority Level Director
Employment Type Full‑time
Job Function Information Technology, Consulting, and Manufacturing; Industries: IT Services and IT Consulting
#J-18808-Ljbffr