SVP/Enterprise Data & AI

At Suffolk Credit Union, we empower our members and strengthen our community by promoting financial wellness, transparency, and respect. We offer a competitive base salary plus an annual bonus opportunity of up to 15%, based on company performance and achievement of sales goals. Join us to enjoy comprehensive benefits, including health plans, 401(k) matching, and support for work-life balance, along with employee engagement activities and opportunities for community involvement.

Role Overview: The Senior Vice President, Enterprise Data & AI is a member of the Senior Leadership Team responsible for defining and executing the Credit Union’s enterprise strategy for data, analytics, and artificial intelligence. This executive leads the development of the vision, governance, operating model, and organizational capabilities that position data and AI as strategic assets to drive informed decision-making, operational excellence, innovation, and exceptional member experiences. Partnering closely with executive leadership, the SVP fosters a culture of data-driven decision-making, responsible AI adoption, and continuous learning while advancing Enterprise Intelligence capabilities that create measurable business value and long-term competitive advantage.

Key Responsibilities:

Enterprise Intelligence

• Lead the enterprise strategy and roadmap for data, analytics, and AI aligned with business objectives.
• Partner with executive leadership to drive innovation, business value, and data-driven decision-making.
• Ensure enterprise governance, security, privacy, and regulatory compliance.

Data & Analytics

• Lead enterprise data governance, architecture, analytics, and data quality initiatives.
• Deliver trusted, accessible data and self-service analytics to support informed decision-making.
• Partner with business leaders to transform data into actionable insights.

Artificial Intelligence

• Develop and execute the enterprise AI strategy and governance framework.
• Lead responsible AI adoption and oversee high-impact AI initiatives.
• Evaluate emerging technologies to drive productivity and competitive advantage.

Decision Enablement

• Advance business intelligence and analytics capabilities across the organization.
• Provide executive insights and performance reporting to support strategic decisions.
• Promote data literacy and self-service reporting.

Adoption & Organizational Change

• Drive enterprise adoption of data-driven and AI-enabled business practices.
• Champion organizational change, learning, and cross-functional collaboration.
• Build a culture of innovation and continuous improvement.

Organizational Leadership

• Build, lead, and develop a high-performing Enterprise Intelligence team.
• Manage departmental strategy, budgets, and talent development.
• Guide technology investments and vendor partnerships supporting enterprise initiatives.

Innovation & Business Value

• Identify and implement data and AI solutions that improve efficiency, member experience, and business performance.
• Measure and communicate the impact of Enterprise Intelligence initiatives.
• Monitor industry trends to recommend strategic technology investments.

Essential Qualifications:

• Bachelor’s degree in a relevant field (computer science, information systems, statistics, or related discipline required); advanced degree preferred.
• Minimum 15 years of progressive leadership experience in enterprise data, analytics, business intelligence, AI, or related disciplines.
• Minimum 7 years leading high-performing technical and business teams, with a demonstrated ability to develop leaders and build organizational capability.
• Proven success developing enterprise data, analytics, and AI strategies that deliver measurable business results and mature organizational capabilities.
• Experience with enterprise data governance, modern data platforms, data privacy and security regulations (e.g., GDPR, CCPA), and analytical tools and technologies (e.g., SQL, Python, R).
• Financial services experience preferred; Credit Union experience strongly preferred.
• Comprehensive knowledge of enterprise data management, analytics, business intelligence, data governance, artificial intelligence, and modern information management practices.
• Demonstrated ability to establish enterprise strategies while maintaining technical expertise to guide architecture, evaluate technologies…