It's time you rethink what you expect from an employer.WORK MODEL#LI-OnSite
WHAT YOU WILL DO- 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.
HOW YOU WILL MAKE AN IMPACT- 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 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 GenAI and agentic AI capabilities and translate relevant developments into practical enterprise opportunities, standards, and roadmap recommendations.
- Local department operating authority as defined by HMA HR/Finance policy.
- Authority to prioritize minor issues and system fixes.
- Authority to recommend system architecture and needed projects.
- Final architecture and needed projects must be approved by Digital Business Planning Team, HMA ITSC, and HAEA.
WHAT YOU WILL BRING TO THE ROLE- Must be a high school graduate.
- Bachelor's degree required in business, computer science, information systems, engineering, data science, or a related field.
- Master's degree in business, technology, analytics, AI, or a related discipline strongly preferred.
- Ten or more years of experience in AI, digital strategy, product management, technology, data, analytics, consulting, or related fields.
- Demonstrated leadership delivering enterprise AI, GenAI, intelligent automation, or digital products from strategy through scaled adoption.
- Three or more years of supervisory or cross-functional leadership experience desired.
- Experience leading complex transformations, portfolios, vendors, budgets, and executive stakeholders.
- Strong command of Generative AI and agentic AI concepts, including LLMs, RAG, 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 ROI.
- Strong business case development, financial management, vendor management, negotiation, and portfolio governance skills.
- Excellent executive communication, facilitation, storytelling, change leadership, and cross-functional influence skills.
- Ability to lead, coach, motivate, and develop multi-skilled teams in a fast-paced environment.
- Working knowledge of enterprise cloud, data, API, integration, and AI platform ecosystems.
- Proficient in Word, Excel, PowerPoint, and other Windows-based computer programs. Relevant AI, cloud, product management, architecture, or responsible AI certifications are a plus.
WHAT HYUNDAI CAN OFFER YOU- Compensation Range: $181,900 - $246,100 annual base salary
- Monthly Hyundai/Genesis vehicle lease allowance (including insurance and maintenance)
- Holiday Pay - the company shuts down with pay between Christmas and New Years.
- Vacation and sick time off
- Healthcare insurance (medical, dental, and vision)
- 401(K) company match
- Additional 401(K) Employer Enhanced Contribution program - eligible after 1 year of employment, in addition to the regular employer matching contribution
- Basic life insurance, short- and long-term disability
- Mental health, wellbeing, and employee assistance program
- Health advocate (coordinate care and services, assistance with claim and billing issues, understanding Hyundai benefits)
WHAT HAPPENS NEXTExpress your interest by submitting an application. Once your application is received, our recruiting team will review your application to see if you meet the basic and preferred qualifications listed on the job description. For more information on our hiring process please visit our How We Hire page.
OTHER DETAILS- Physical requirements: Normal office duties.
- Travel within US required.
