Technical Principal-Data & AI Enablement

GM Financial•Irving, TX

7h•Hybrid

About The Position

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. 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.

Requirements

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, and AI ecosystems (Azure AI, Databricks ML, Azure OpenAI, Cognitive Search).
Recognized as a subject matter expert in one or more areas: AI/ML, Generative AI, cloud data architecture, advanced analytics.
Ability to mentor and influence technical leaders, fostering innovation and continuous improvement.
Expertise in emerging AI technologies, including LLMs, prompt engineering, RAG patterns, model lifecycle management, and AI governance.
Strong knowledge of Responsible AI frameworks, including bias mitigation, explainability, and compliance.
Ability to innovate and adopt new approaches, leveraging AI-driven automation and data-centric architectures.
Exceptional communication and relationship-building skills to influence across business and technical domains.
Related certifications and/or licenses required
Member of and recommendation by accredited association in related field preferred

Responsibilities

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.