VP, Development - AI & Data

Basic Function

Lumin Digital is the digital banking platform of choice for credit unions and community banks across the country. The VP of Artificial Intelligence & Data Engineering will lead the development and execution of Lumin's AI roadmap, encompassing Generative AI, agentic AI, and machine learning, as well as the data capabilities that underpin those technologies.

This leader will build and mentor a high-performing team of engineers and data scientists, define the technical vision for delivering cutting-edge AI capabilities, and partner closely with product and engineering leadership to bring transformative, AI-driven solutions to market. The VP of AI & Data Engineering reports directly to the Chief Product & Technology Officer.

Essential Functions, Responsibilities, Experience:

Team Leadership

Hire, lead, and mentor a team of exceptional software engineers, data scientists, and ML engineers who will build industry-leading Generative AI, agentic AI, and machine learning capabilities.

Identify the right mix of talent and skills needed to grow the AI and data engineering function, and create clear development pathways for team members at all levels.

Foster a culture of innovation, rigor, and continuous learning where the team stays ahead of the rapidly evolving Generative AI and agentic AI landscape.

Clearly and continuously communicate technical direction, team progress, and delivery details to leadership and stakeholders across the organization.

Work closely with other development leaders to champion the adoption and integration of Generative AI, agentic AI, and machine learning technologies across all product areas.

AI Strategy & Innovation

Define and own the technical strategy for delivering Lumin’s AI roadmap spanning Generative AI, agentic AI, and machine learning, ensuring alignment with overall product and business objectives.

Evaluate, adopt, and integrate the latest advancements in Generative AI and agentic frameworks to drive product differentiation and create new value for clients.

Lead the design and implementation of scalable AI capabilities including large language model (LLM) integration, agentic workflows, model development, training infrastructure, and deployment pipelines.

Continuously assess the AI landscape to identify emerging tools, techniques, platforms, and vendors that can accelerate delivery and sustain competitive advantage.

Data Engineering & Foundations

Architect and oversee the build-out of robust, scalable data pipelines that serve as the foundational infrastructure supporting Generative AI, agentic AI, and machine learning workloads.

Partner with SRE, Security, and Compliance teams to ensure data pipelines are performant, reliable, and fully compliant with regulatory and security requirements.

Define and enforce data