Job Description

VP of AI Strategy & Solutions serves as the chief architect of our data-driven vision, demonstrating a deep understanding of strategic planning, our current AI models, and the multiple products of artificial intelligence that are most impactful to financial institutions.
Reporting directly to the SVP, Enterprise Technology Solutions, you will be entrusted with developing, scaling, and continuously refining our AI strategy, ensuring it leverages our existing tools and technologies while aligning with organizational priorities and values. This role will be instrumental in transitioning our $14 billion institution toward a proactive, AI-integrated enterprise focused on high member engagement and operational excellence.
The role strategically defines, establishes, and leads an AI-focused operating unit, providing strategic guidance on the AI roadmap, AI compliance, enterprise priorities, solution deployments, technical architectures, and the maturation of our data ecosystem. Leverages existing AI products, models and technologies—including but not limited to Generative AI, CoPilot Agent solutions, Robotic Process Automation, Machine Learning, predictive lending models, and intelligent fraud prevention systems—to drive measurable value for the credit union and its members. Creates and implements enterprise wide policies for ethical and secure AI use, ensuring all initiatives are contained, controlled, and in harmony with our brand reputation and risk tolerance. The VP maintains the ability to reassess and retract AI initiatives if they prove overly aggressive or misaligned with SSFCU’s values, consistently safeguarding the integrity and trust of our institution. Qualifications
Financial Services Expertise: 7+ years of leadership in Data Science, AI, or Digital Transformation within a regulated financial environment.
Proven Track Record: Experience taking AI/ML models from a "proof of concept" to full-scale production in a multi-channel environment.
Educational Foundation: MBA with a technical focus or an advanced degree in Data Science, Computer Science, Mathematics or a related field is preferred.
Requires individual to obtain and maintain Escrow Officer license with the applicable state insurance agency. Complete continuing educations courses required to maintain licensure.