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Hyundai Motor Company

Global automaker producing sedans, SUVs, EVs

Senior Group Manager - AI Strategy

Technical Product ManagementUpdated on Nov 14
Full-timeFountain Valley, CA, USA

About the Job

Requirements

  • Must be a high school graduate.
  • A bachelor's degree in business, computer science, information systems, engineering, data science, or a related field is required.
  • Ten or more years of experience in AI, digital strategy, product management, technology, data, analytics, consulting, or related fields is required.
  • Demonstrated leadership delivering enterprise AI, generative AI, intelligent automation, or digital products from strategy through scaled adoption.
  • Experience leading complex transformations, portfolios, vendors, budgets, and executive stakeholders.
  • Strong command of generative AI and agentic AI concepts, including large language models, retrieval-augmented generation, tool calling, orchestration, multi-agent systems, grounding, memory, evaluation, and observability.
  • Ability to translate enterprise strategy and business processes into scalable AI products, operating models, roadmaps, and investment priorities.
  • Knowledge of AI product management, responsible AI, model and vendor risk, privacy, cybersecurity, data governance, and human-in-the-loop controls.
  • Experience defining outcome metrics such as task completion, automation rate, cycle time, adoption, quality, cost-to-serve, and return on investment.
  • Strong business case development, financial management, vendor management, negotiation, and portfolio governance skills.
  • Ability to lead, coach, motivate, and develop multi-skilled teams in a fast-paced environment.
  • Working knowledge of enterprise cloud, data, application programming interface, integration, and AI platform ecosystems.
  • Proficiency in Word, Excel, PowerPoint, and other Windows-based computer programs.
  • Travel within the United States is required.

Responsibilities

  • Execute the enterprise strategy for generative AI and agentic AI across Hyundai Motor North America, translating business priorities into scalable AI products, automation, and measurable value.
  • Establish the enterprise vision, roadmap, and operating model for generative AI 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 generative AI 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, Hyundai Motor North America 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 business objectives and Hyundai Motor Group direction.
  • Lead the identification, prioritization, delivery, and lifecycle management of generative AI products, including chatbots, copilots, workflow agents, and autonomous or semi-autonomous multi-agent solutions.
  • Own the enterprise multi-agent framework and generative AI product architecture, establishing reusable patterns and standards for large language models, retrieval-augmented generation, 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 generative AI 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 large language models and generative AI services, balancing capability, interoperability, security, data protection, scalability, cost, and avoidance of unnecessary vendor lock-in.
  • Build an enterprise AI product community and center-of-excellence capability that provides reference architectures, reusable components, delivery playbooks, training, and coaching to enable business and technology teams.
  • Measure success through task completion, automation rate, cycle-time reduction, employee adoption, quality, and realized return on AI investment.
  • Develop executive-level reporting for the AI portfolio, communicating delivery status, value realization, adoption, risk, investment needs, dependencies, and strategic recommendations.
  • Lead cross-functional teams and external partners, managing talent, budgets, delivery commitments, and organizational change while fostering innovation, accountability, and responsible experimentation.
  • Monitor emerging generative AI and agentic AI capabilities and translate relevant developments into practical enterprise opportunities, standards, and roadmap recommendations.
  • Exercise local department operating authority as defined by HMA Human Resources and Finance policy.
  • Prioritize minor issues and system fixes.
  • Recommend system architecture and needed projects; final architecture and projects require approval by the Digital Business Planning Team, HMA ITSC, and HAEA.

Desired Qualifications

  • A master's degree in business, technology, analytics, AI, or a related discipline is strongly preferred.
  • Three or more years of supervisory or cross-functional leadership experience is desired.
  • Relevant AI, cloud, product management, architecture, or responsible AI certifications are a plus.

About the Company

Hyundai Motor Company

Global automaker producing sedans, SUVs, EVs

Hyundai Motor Company is a global car maker that designs, manufactures, and sells a wide range of vehicles, including sedans, SUVs, and a growing number of electric vehicles. Its manufacturing is done in-house across a network of plants around the world, which helps manage production and the supply chain across markets such as North America, India, and Europe. The company plans to expand its EV lineup, aiming to launch 21 new electric models by 2030 to cover affordable to high-performance segments. Hyundai differentiates itself through its integrated global manufacturing approach, control over its supply chain, and a deliberate shift toward electrification under the “Hyundai Way,” backed by a strong U.S. presence since 1986. Its goal is to grow vehicle sales with a balanced mix of traditional and electric vehicles while becoming a leading supplier of EVs across multiple market segments.

Company size
10,001+
Company stage
IPO
Headquarters
Seoul, South Korea
Founded
1967

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