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 quality, governance, and observability standards across the data platform to ensure AI models and agents are built on trusted, high-quality data.

• Drive adoption of best practices for data modeling, storage, and retrieval, including vector databases and retrieval-augmented generation (RAG) architectures that enable effective AI delivery.

Cross-Functional Partnership

• Partner closely with Product leadership to understand the roadmap and proactively identify opportunities to leverage Generative AI, agentic AI, and machine learning to deliver breakthrough product capabilities.

• Collaborate with engineering leaders across teams to share AI tooling, best practices, and reusable components that accelerate AI adoption across product areas.

• Engage with clients, prospects, and industry peers to gather insights that inform the AI and data strategy and validate technical direction.

• Translate complex AI and data concepts into clear, compelling narratives for executive, product, and business audiences.

Position Specifications

Education:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field. MS degree or PhD preferred.

Experience:

• At least 10 years of experience in software engineering, data engineering, or machine learning, with at least 3 years in a senior leadership role overseeing AI or data teams.

• Demonstrated hands-on experience building and deploying production AI systems, ideally Generative AI and agentic AI applications, in B2B SaaS cloud environments.

• Deep expertise in m