Data Analytics Jobs in Brainerd, MN (NOW HIRING)

Position Description

Summary

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.

Fundamental Responsibilities

• 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.

Key Responsibilities

Data Strategy & Architecture Leadership

• 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.

Hands-On Technical Execution

• 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.

Analytics, Reporting & Decision Enablement

• 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.

Governance, Compliance & Risk Management

• 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.

Technical Documentation & Standards

• 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.

Team Leadership & Culture Building

• 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-time Exempt
Pay: $124,000 - $186,000
Expected hours: 40 per week

Mid Minnesota Federal Credit Union (MMFCU) has provided a salary range that represents its good faith estimate of what the company may pay for the position at the time of posting. The specific salary offered will be determined based on factors such as the qualifications of the selected candidate, departmental budget, internal salary equity considerations, and available market information.

Benefits:

1. Medical
2. Dental
3. Vision
4. Employer paid Life insurance
5. 401(k) Savings Plan
6. Bonus/Incentive Program
7. Vacation Time
8. Earned Sick and Safe Time (aka Sick Time)
9. Health and Wellness Program

Equal Opportunity Employer