Director, Artificial Intelligence (AI)

Who We Are
Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement.
We Take Care of Our People
Along with competitive pay, as an employee of HCA, you are eligible for:

Medical, dental, and vision plans with no-cost and low-cost options
Annual employer HSA contribution
401(k) matching and immediate vesting
Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level:
Associate / Sr. Associate: $350
Manager / Sr. Manager: $600
Director: $800
Executive Director: $900
VP or Above: $1,000
100% employer-paid life and disability insurance
No-cost health and wellbeing programs, including a gym benefit
Six weeks of paid parental leave
Paid Volunteer Time Off, plus a company donation to a charity of your choice
What To Expect
The Director, Artificial Intelligence (AI) is responsible for building and leading a high-performing AI team, executing AI strategies, and driving innovation across the enterprise that enhance business operations, improve customer experiences, and deliver measurable business outcomes. This role will blend technical depth with strategic leadership, ensuring AI solutions are ethical, scalable, secure and aligned with business goals and the company remains competitive in a rapidly evolving AI landscape.
What You Will Do

AI Use Case Identification, Development & Execution
Partner with business, technology, and control functions (e.g., Risk, Compliance, Operations, Sales) to identify and prioritize high‑value AI/ML use cases that drive measurable business outcomes.
Establish structured intake, prioritization, and value‑assessment frameworks to ensure AI investments focus on feasibility, risk, and time‑to‑value.
Own end‑to‑end execution of AI use cases, from problem definition and prototyping through production deployment, scaling, and continuous optimization.
Lead cross‑functional teams to translate business problems into AI solutions, defining success metrics, KPIs, and value realization plans.
Ensure production readiness, adoption, and governance of AI solutions, including performance monitoring, explainability, regulatory compliance, and ongoing optimization.
AI Infrastructure Foundation Building
Design and lead the enterprise AI foundation, including AI platforms, MLOps, experimentation environments, and scalable LLM integration patterns (e.g., RAG, fine‑tuning, prompt engineering, evaluation frameworks).
Establish secure, compliant, and scalable AI architecture that meets regulatory, privacy, explainability, and auditability requirements while supporting rapid innovation and growth.
Define AI‑ready data architecture, including data models, metadata, lineage, and integration standards to ensure high‑quality, reusable data to support AI initiatives across the enterprise.
Partner with Data Engineering, Cloud, Cybersecurity, and Governance teams to build reliable data pipelines, orchestration, monitoring, and observability capabilities that ensure performance, resilience, and availability.
Continuously evolve the AI foundation by evaluating emerging technologies, tools, and architectural approaches to improve scalability, efficiency, and enterprise readiness.
Strategy & Thought Leadership
Lead the creation, development and growth of a new AI Practice Team.
Define the team’s vision, operating model, and roadmap and scale the organization effectively as the practice matures and demonstrates business impact.
Develop and maintain the enterprise-wide multi-year AI technology roadmap, ensuring alignment with business strategy, digital transformation goals and emerging AI trends.
Drive continuous AI innovation by tracking emerging technologies, evaluating vendor/partner solutions, and fostering a culture of experimentation within the team.
Define the AI Practice operating model, authority levels & clarifying collaboration model (handoffs) between AI teams, business lines and other IT functions.
Develop and execute training and awareness program and communicate AI concepts and strategies to stakeholders, including executive leadership.
Develop AI talent strategy, upskilling programs for non-AI teams to adopt AI solutions.
Governance & Compliance
Establish AI governance principles, risk management frameworks, and ethical guidelines tailored to financial services.
Ensure compliance with data privacy regulations and industry standards.
Monitor and mitigate risks associated with AI technologies.
Advise executives on AI strategy, risk and tradeoffs.
People Management
Lead, mentor, and develop team members by providing direction, performance expectations and feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals.
What You Will Bring

Minimum 10 years of progressive experience in broad based platform technology, data science / Machine Learning & enterprise transformation programs.
Minimum 5 years’ management experience.
Experience with cloud platforms, data engineering and MLOps.
Experience in regulated industries such as finance preferred.
Bachelor’s degree in Computer Science, Technology/Information Management or closely related technical field.
Advanced degree in Computer science, Machine Learning, Artificial Intelligence or a related field.
Professional development in areas such as AI/ML platforms, cloud computing, enterprise platforms strongly preferred.
Proven ability to deliver AI initiatives in an enterprise environment, with a balance of strategic and hands-on execution.
Proven record of accomplishment to influence and partner with the business and leaders to successfully drive large-scale organization initiatives.
Ability to connect AI capabilities with business outcomes and long-term organizational goals.
Strong understanding of AI platforms, tools and use cases; willingness to learn and configure solutions directly.
Deep expertise in machine learning, deep learning, natural language processing, and computer vision.
Strong leadership skills to effectively lead and support both assigned resources and colleagues from other internal departments or external stakeholders.
Proven ability to work across levels and functions to build relationships with key stakeholders.
Demonstrated ability to articulate vision and direction, communicate effectively, manage and measure performance and accountability.
Excellent written, verbal, and presentation skills.
Excellent interpersonal, counseling, and negotiation skills.
Comfortable navigating change and ambiguity in a fast-paced environment.
Forward thinking with the ability to work well under pressure and organize/articulate complex information.
Work Environment
Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment.
The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range.
California Privacy Notice
This notice only applies to our applicants who reside in the State of California.
The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”).
If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com .
Primary Location
United States-California-Irvine
Work Locations
Headquarters 1
Job
Enterprise Data Strategy
Job Type
Regular
Overtime Status
Exempt
Schedule
Full-time
Minimum Salary: $
184,000.00
Maximum Salary: $
294,400.00
Job Posting
Feb 11, 2026