Vice President, Artificial Intelligence

If you are ready to join a company that truly cares about its employees, our members, and our community then you have come to the right place!

The Opportunity

Broadview is a federal credit union serving over 500,000 members across New York. We are buildingour first dedicated AI function from the ground up, and this role leads it. You will not inherit a team, a backlog, or someone else's roadmap. You will define the strategy, set the standards, hire the builders, and own the outcomes.

You report to the CIO.

What You'll Own

AI Strategy & Governance

• Define and execute the enterprise AI roadmap, aligned to credit union business objectives across lending, member services, risk, and operations.
  
• Establish the AI governance framework: model risk management, responsible AI principles, bias monitoring, and regulatory alignment (NCUA, CFPB, state AG expectations).
  
• Own vendor evaluation and architecture decisions for the AI stack. Current foundation: Anthropic Claude (enterprise-wide), Workato (automation/integration platform), AWS cloud infrastructure, with an evaluated path toward on-premise SLM deployment for high-volume, deterministic workloads.
  
• Serve as the executive voice of AI to senior leadership. Translate technical capability into business language.
  

• Recruit and lead a high-performing AI team
  
• Build a culture of rapid prototyping, production discipline, and partnership with existing business and technology teams. Your team adds net-new capability-it does not displace existing staff.
  
• Assess and develop AI-adjacent growth paths for current data and analytics team members. Partner with, don't compete with, the existing data organization.
  
• Establish engineering standards: code review, testing, deployment pipelines, documentation, and security practices appropriate for a regulated financial institution.
  

• Identify and prioritize high-ROI AI use cases across the institution: intelligent document processing (mortgage, lending), member-facing conversational AI, back-office workflow automation, risk and fraud detection, and predictive analytics.
  
• Deliver the first production AI tools within 90 days.
  
• Partner with the Automation & Solutions Architect to turn existing pain points into automated workflows.
  
• Build the measurement framework: define what success looks like for every AI initiative before it launches, track it rigorously, and report outcomes to leadership in business terms.
  

• Minimum 10 years of experience and 6+ years in technology leadership roles, with at least 3 years focused on AI/ML strategy and delivery in a production environment.
  
• Demonstrated experience building and leading AI or data science teams from early stage. You've hired, mentored, and retained technical talent.
  
• Hands-on fluency with modern LLM architectures, prompt engineering, RAG patterns, agentic workflows, and fine-tuning approaches.
  
• Experience deploying AI in regulated industries (financial services, healthcare, government). You understand model risk management, explainability requirements, and the difference between a demo and a production system.
  
• Strong executive communication skills. You can present an AI governance framework to a board of directors and explain a model architecture to an engineer in the same day.
  
• Experience with cloud-native AI infrastructure (AWS Bedrock, SageMaker, or equivalent). Comfort with hybrid architectures including on-premise deployment for specific workloads.
  

• Experience in financial services, particularly credit unions, community banks, or fintech. You understand lending workflows, regulatory examinations, and member-centric product thinking.
  
• Familiarity with Anthropic's Claude model family and API. Experience with iPaaS platforms like Workato for AI-augmented automation.
  
• Background in intelligent document processing, conversational AI, or fraud/risk modeling in financial services contexts.
  
• Graduate degree in computer science, AI/ML, data science, or related field. Relevant certifications (AWS ML Specialty, etc.) are a plus but not required.
  
• Experience presenting to or advising boards of directors on emerging technology strategy.