Technical Principal-Data & AI Enablement

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.

About this role:

Are you ready to lead the charge in transforming how we use data and emerging technologies? As a Technical Principal, 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.

• 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.

• 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.
• High School Diploma or equivalent required. Associate Degree or equivalent plus 2 additional years of related experience 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.