Senior Group Manager, Enterprise Analytics & Data Science

Location:

Fountain Valley, CA, US, 92708

At Hyundai, we’ve rethought our business and created cars that combine performance, quality, design and innovation into a complete package.

It’s time you rethink what you expect from an employer.

At Hyundai, we understand you’re not just building a career – you’re building a life. We believe in our people and realize that our success is a direct result of our commitment in offering you great opportunities for your career. If you would enjoy working in a dynamic environment and are looking for a chance to become part of a stellar team of professionals, we invite you to apply online today.

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Hyundai Motor North America is redefining how data powers decisions—and this role sits at the center of that transformation. As Senior Group Manager, Enterprise Analytics & Data Science, you will serve as a senior enterprise leader shaping how big data, advanced analytics, machine learning, and AI drive measurable business outcomes across the organization. This is a high‑impact opportunity to influence strategy, unlock value from enterprise data assets, and elevate customer, dealer, and employee experiences through actionable insights.

In this role, you’ll lead the enterprise‑wide adoption of data‑driven decision‑making, advancing the use of descriptive, predictive, and prescriptive analytics across all business functions. Operating at the forefront of enterprise analytics, you’ll define the analytics strategy, guide self‑service analytics and tool selection, and establish this team as the hub of analytics and data science expertise for Hyundai Motor North America.

• Lead development and operations of the North America Big Data & Analytics Center in partnership with Hyundai Motor Group to deliver scalable analytics, ML, and AI capabilities.
• Establish and lead enterprise machine learning practices, including standards for modeling, experimentation, validation, deployment, and performance monitoring.
• Drive telematics and connected‑vehicle analytics use cases across product, service, sales, and marketing to unlock vehicle, customer, safety, and lifecycle insights.
• Define and execute the enterprise analytics and AI roadmap, scaling predictive, prescriptive, and Generative AI solutions embedded into business workflows.
• Evangelize AI‑powered analytics, fostering innovation, analytical maturity, and cross‑functional collaboration across the enterprise.
• Identify and execute analytics‑driven value and monetization opportunities, creating new revenue streams and operational efficiencies.
• Lead strategy, development, and delivery of analytics and AI‑enabled applications that provide actionable insights.
• Champion responsible and transparent AI adoption aligned with enterprise principles.
• Partner with business and IT leaders to align analytics initiatives with strategic priorities and measurable outcomes.
• Lead and develop analytics and data science teams, managing resources and driving high‑impact delivery.
• Establish and track analytics platform, model, and application performance metrics to drive continuous improvement.
• Support forecasting, optimization, and performance improvement using vehicle, connected, and customer data.
• Perform additional strategic initiatives related to analytics, ML, and AI as assigned.
• Exercise local operating authority per HMA HR/Finance policy, including minor issue prioritization and architecture recommendations, with final approvals governed by IT and steering committees.

• Bachelor's degree required, Master's degree a plus.
• Ten or more years of experience in data management, data analytics, machine learning, and data engineering required.
• Three or more years of experience managing projects and multi‑skilled employees required.
• Strong executive presence with the ability to analyze, synthesize, and present complex information effectively to C‑level leaders, middle management, and technical/business audiences.
• Strong analytical skills and mastery of analytical tools (e.g. Python, Hadoop, etc.) required.

• Compensation Range: $149,800 - $214,000 annual base…