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Technical Principal-Data & AI Enablement

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: GM Financial
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Why GMF Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Job Description Why GMF Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

This role will remain posted until filled.

Responsibilities

About this role:

Are you ready to lead the charge in transforming how we use data and emerging technologies? As a Technical Principal
- Data and AI Enablement, you’ll be the strategic powerhouse behind our data modernization journey—driving innovation, influencing business leaders, and delivering real business value.

In This Role You Will
  • Lead with Vision:
    Serve as a technical thought leader and subject matter expert, guiding high-impact initiatives that leverage AI, Machine Learning, and Generative AI to accelerate digital transformation.
  • Champion Innovation:
    Advocate for responsible AI adoption and cutting-edge technologies that redefine productivity and performance.
  • Collaborate at the Highest Level: Partner with senior leaders to identify game-changing opportunities and shape strategies that make a measurable difference.
  • Be the Voice of Change:
    Represent GM Financial as a trusted advisor and innovator—internally and across the broader tech community—driving AI-powered enterprise transformation.
  • If you’re passionate about emerging tech, love solving complex challenges, and want to make a lasting impact, this is your opportunity to lead the way.
Qualifications What makes you an ideal candidate:
  • Influence strategic projects and initiatives through deep technical expertise in cloud, data, AI/ML, and GenAI.
  • Act as a trusted advisor to department and business leaders, providing thought leadership on AI-enabled solutions and guiding technology decisions.
  • Drive technical innovation and thought leadership, acting as a change agent for emerging technologies such as LLMs, RAG architectures, MLOps/LLMOps, and event-driven AI systems.
  • Translate business vision into AI-aligned technical strategies, balancing risk, investment needs, and fit-for-purpose solutions.
  • Foster open communication and collaboration, encouraging diverse viewpoints and knowledge sharing across teams.
  • Maintain a strong internal and external network, representing GM Financial in AI/GenAI forums, industry events, and technology communities.
  • Anticipate and address cross-team challenges, influencing enterprise-wide adoption of AI and advanced analytics platforms.
  • Promote Responsible AI principles, ensuring compliance with ethical, regulatory, and security standards.
Work Experience & Education
  • High School Diploma or equivalent required. Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or related field preferred.
  • 10+ years in technology leadership roles with a focus on enterprise architecture, AI/ML, and cloud and data platforms.
  • 3–5 years mentoring technical teams and driving AI-enabled transformation initiatives.
  • 3–5 years leading projects and influencing outcomes through technical thought leadership
  • Proven experience leading enterprise-scale technology initiatives, including AI/ML and GenAI adoption.
  • Strong business acumen and ability to articulate the business impact of AI-driven solutions.
  • Deep understanding of cloud-native architectures, data platforms,…
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