Senior Group Manager, AI Strategy

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• Senior Group Manager, AI Strategy is responsible for executing the enterprise strategy for Generative AI and agentic AI across Hyundai Motor North America (HMNA), translating business priorities into scalable AI products, automation, and measurable value.
• Establish the enterprise vision, roadmap, and operating model for GenAI products, including chatbots, and autonomous or semi-autonomous agents that augment decisions and execute work within business processes.
• Lead the transition from 'AI for insight' to 'AI for action' by embedding intelligent agents into workflows to plan, decide, execute, learn, and collaborate with employees under appropriate human oversight.
• Support the enterprise GenAI product portfolio, prioritizing use cases based on strategic alignment, business value, feasibility, risk, and readiness while ensuring effective investment and resource allocation.
• Champion responsible AI adoption by establishing policy, risk controls, data-grounding requirements, evaluation standards, human-in-the-loop safeguards, and lifecycle governance in partnership with Legal, Privacy, Security, IT, and Data Governance.
• Drive business integration and adoption.
• Build strategic partnerships across Hyundai Motor Group, HMNA business units, technology teams, and external providers to accelerate innovation, reuse enterprise capabilities, and maintain alignment with corporate strategy.

• Define and execute the enterprise Generative AI and agentic AI strategy, roadmap, investment priorities, and operating model aligned with HMNA business objectives and Hyundai Motor Group direction.
• Lead the identification, prioritization, delivery, and lifecycle management of GenAI products, including chatbots, copilots, workflow agents, and autonomous or semi-autonomous multi-agent solutions.
• Own the enterprise multi-agent framework and GenAI product architecture, establishing reusable patterns and standards for LLMs, RAG, tool calling, orchestration, memory, grounding, evaluation, observability, and human oversight.
• Partner with business leaders to redesign high-value workflows for AI-driven task execution and decision augmentation, translating business needs into scalable products with clear ownership, controls, and adoption plans.
• Establish portfolio governance and stage-gate processes for intake, experimentation, production deployment, monitoring, scaling, and retirement of GenAI products and agents.
• Lead responsible AI governance in partnership with Legal, Privacy, Cybersecurity, IT, Risk, and Data Governance, including policy, model and vendor risk, data use, traceability, testing, approval, and incident management requirements.
• Set enterprise evaluation and performance standards for AI products, including task success, response quality, groundedness, reliability, safety, latency, cost, user adoption, automation rate, and business value realization.
• Drive platform and vendor strategy for LLMs and GenAI services, balancing capability, interoperability, security, data protection, scalability, cost, and avoidance of unnecessary…