Manager of Enterprise Data Solutions

Job Summary

Employment Type:

Full Time, Hybrid

Entry Salary Range: $94,472.05 - $ annually with an annual award opportunity based on individual and credit union performance.

• Health & Wellness - Medical, dental, and vision insurance to keep you and your family healthy.
• Financial Peace of Mind - 401(k) with company match, life insurance, and disability coverage.
• Time Off - Generous paid time off (PTO), paid holidays, and paid parental leave.
• Professional Growth - Learning and development programs, plus tuition reimbursement to support your career journey.
• Additional Perks - Free Telemedicine, Employee Assistance Program (EAP), Wellness initiatives, Paid Community Action Volunteer Hours.
• Parental Leave and Tuition Reimbursement are available after one year of service.

The Manager of Enterprise Data Solutions is accountable for the development and execution of the credit union’s enterprise data strategy, ensuring data is accurate, accessible, and aligned with business initiatives. As product owner of the enterprise data platform, this role prioritizes and delivers solutions that drive measurable business value, improve operational efficiency, and support informed decision-making.

This position provides leadership across data strategy, product management, and platform governance to ensure data capabilities evolve with organizational needs. The Manager fosters adoption, supports enterprise priorities, and maintains a trusted data environment that enables business performance and strategic growth.

• Develops and executes a forward-looking technology strategy for enterprise data, including data warehousing, integration, and emerging capabilities.
• Defines and evolves the architecture of the enterprise data platform to support scalability, self-service analytics, and advanced data use cases.
• Evaluates and prioritizes technology investments based on platform strategy and business value.
• Stays current on industry trends and advancements to ensure the organization remains competitive in data capabilities.
• Leverages AI and other automation tools to accelerate platform development, improve operational consistency, and keep enterprise data capabilities current.

• Owns the enterprise data platform roadmap, aligning capabilities to organizational priorities and strategic initiatives.
• Partners with business leaders to identify, prioritize, and deliver high-value data use cases.
• Maintains and prioritizes a centralized product backlog of data initiatives, balancing strategic investments with operational needs.
• Establishes and tracks success metrics such as adoption, usage, data availability, and business impact.
• Implements governance over intake, prioritization, and delivery to ensure transparency and alignment.
• Acts as the primary liaison between technical teams and business stakeholders to ensure clarity of requirements and expected outcomes.

• Establishes and enforces enterprise data governance practices to ensure integrity, security, and compliance.
• Ensures data is reliable, accurate, and trusted for reporting and decision-making.
• Partners with business units to define data ownership and stewardship responsibilities.
• Implements controls and monitoring processes to continuously improve data quality and trust.

• Works closely with senior leadership to align data strategy with enterprise goals and priorities.
• Translates business strategy into a prioritized enterprise data platform roadmap and actionable delivery plans.
• Ensures data investments are aligned to measurable outcomes including operational efficiency, risk management, and member experience.

• Optimizes data processes and workflows to improve efficiency and scalability.
• Implements automation and repeatable processes to reduce manual effort and increase consistency.
• Establishes structured intake, prioritization, and delivery processes for data requests.
• Introduces delivery frameworks to accelerate time-to-value and improve execution discipline.
• Collaborates with IT and business units to integrate data solutions across the organization.