Vice President of Data Architecture

About the Organization:
At MMFCU, we don't just say 'We're with you all the way' - we thrive on it for the benefit of our employees, members, products, services and community. Our employees play a vital role in building relationships with our members. This is where you come in. You like people, right? Make a career out of it! Help our members improve their financial well-being, and help yourself get the most out of your career.

The VP of Data Architecture serves as a senior leader responsible for designing, implementing, and advancing a modern, scalable, and compliant enterprise data environment for Mid Minnesota Federal Credit Union. This role blends strategic vision with hands‑on technical execution to ensure data is trusted, accessible, secure, and actionable across the organization.

The position establishes the multi‑year data architecture roadmap, leads analytics enablement, embeds strong governance and documentation practices, and partners closely with executive leadership, IT, Risk, and business teams to support decision‑making, regulatory compliance, operational efficiency, and enhanced member experience.

• Maintain the highest standards of Integrity, Personal Responsibility, Sense of Community, and Teamwork by self‑example within and outside the credit union.
• Build internal trust and confidence in organizational data through accuracy, transparency, and reliability.
• Partner with leaders and teams to translate business needs into scalable, well‑governed data solutions that drive measurable outcomes.

• Define and maintain a multi‑year enterprise data architecture roadmap aligned with strategic goals.
• Establish a clear target‑state architecture for data ingestion, integration, storage, modeling, analytics, and reporting.
• Prioritize initiatives based on business value, regulatory requirements, risk reduction, and operational efficiency.
• Develop and oversee member data strategies to identify growth and engagement opportunities.
• Design and lead a Data Literacy program for management and staff to ensure dashboards and analytics drive actionable, data‑informed decisions and a durable data‑driven culture.

• Architect and maintain data pipelines, integrations, and warehouse environments.
• Design scalable data models supporting analytics, AI/ML, and regulatory reporting.
• Build and manage integrations across core systems and vendors.
• Remain actively involved in coding, testing, and deployment.

• Advance analytics maturity from descriptive to predictive insights.
• Enable executive, operational, and regulatory reporting with trusted data.
• Support governed self‑service BI capabilities.
• Ensure analytics answer real operational and strategic questions.

• Establish enterprise data governance standards.
• Ensure compliance with NCUA, FFIEC, BSA, and audit expectations.
• Partner with Risk, Compliance, Audit, and IT Security teams.
• Support BSA/AML and other regulatory reporting with auditable data.
• Define governance components including data ownership and stewardship, data quality controls, metadata management, data lineage, retention policies, access controls, and monitoring and validation of reporting outputs.

• Maintain architecture diagrams and data dictionaries.
• Document ETL/ELT workflows, integrations, and runbooks.
• Ensure documentation supports audit readiness and onboarding.
• Maintain standardized artifacts including API and integration specifications, operational support documentation, and user guides.

• Mentor and develop data engineering and analytics staff.
• Build a data‑driven, documentation‑driven culture.
• Establish standards, expectations, and career pathways.
• Manage data partner and vendor relationships.
• Function as a trusted cross‑functional partner to executive leadership, line‑of‑business leaders, IT, Risk, and Operations, translating technical concepts into business terms and influencing prioritization and investment decisions.

Job Type: Full‑tim…