Associate Vice President Of Data Analytics And Business Intelligence

The AVP of Data Analytics and Business Intelligence is a strategic role responsible for leading the credit union's analytics practice, accelerating data-driven transformation across all business functions, and cultivating a thriving data culture. Reporting to the SVP of Information Technology, this position will architect and execute our vision for enterprise-wide business intelligence, modernize the data infrastructure through cloud-based solutions, and establish advanced analytics capabilities that translate complex data into clear, actionable insights to support strategic decision-making.

This leader will champion ethical data governance and responsible data practices, build a high-performing analytics team, and position our credit union as an industry leader in leveraging data to enhance the member experience, optimize operations, and drive sustainable growth using data as a strength.

• Define and execute a comprehensive, forward-looking business intelligence and analytics strategy aligned with organizational objectives and member needs
• Drive the modernization of our data pipeline architecture, transitioning from legacy systems to cloud-based platforms and best-in-class solutions
• Champion the adoption of advanced analytics capabilities including predictive and prescriptive analytics to inform strategic decisions
• Evaluate the potential impact, risks, and opportunities of emerging technologies in machine learning, generative AI, and agentic analytics, and advise leadership on responsible and strategic adoption
• Foster a thriving data culture where data has "a seat at the table" in every strategic decision through training, recognition programs, and cross-functional collaboration
• Serve as a trusted advisor to the executive team and Data Governance Council on data-driven insights, trends, and opportunities
• Build and communicate the business case and strategies for analytics investments and initiatives

• Lead the design, development, and implementation of scalable, cloud-based data infrastructure and analytics platforms
• Oversee the full data lifecycle from ingestion and integration through analysis and visualization
• Ensure optimal performance, security, and reliability of all business intelligence and data analytic systems and pipelines
• Drive adoption and optimization of enterprise analytics tools including Microsoft Power BI, Tableau, and other visualization platforms
• Partner with other departments to ensure seamless integration of data sources across the organization
• Evaluate and implement emerging technologies and methodologies to maintain competitive advantage
• Oversee the development and delivery of dashboards, reports, and self-service analytics capabilities
• Translate complex data findings into clear, actionable business recommendations
• Communicate the "why" behind analytics, translating data investments into presentations and data stories that inspire understanding and action
• Drive the democratization of data across the organization while maintaining appropriate governance
• Establish KPIs and metrics frameworks to measure organizational and member success
• Lead advanced analytics initiatives including member segmentation, predictive modeling, risk analytics, and optimization

• Establish and enforce comprehensive data governance frameworks, policies, and standards
• Ensure data quality, accuracy, integrity, and security across all systems and processes
• Maintain compliance with all relevant regulations including NCUA requirements, data privacy laws, and industry standards
• Elevate data governance from compliance to trust-building, ensuring transparency, accountability, and ethical stewardship
• Champion the responsible and ethical use of data, ensuring privacy, transparency, and fairness guide all analytics initiatives
• Implement data stewardship programs and establish clear ownership and accountability structures
• Create and maintain data dictionaries, metadata management, and documentation standards
• Build, mentor, and lead a high-performing team of data analysts, data engineers/architects, and BI developers
• Foster a culture of innovation, continuous improvement, and data literacy across the organization
• Foster an open and supportive environment where employees are encouraged to question, learn, and explore through data
• Develop talent through coaching, training, and career development opportunities
• Champion organization-wide data literacy programs that help non-technical employees understand, interpret, and use data responsibly
• Establish clear performance metrics and accountability measures for the analytics team
• Partner with stakeholders across the organization to understand needs and deliver actionable insights

The full pay range for this position across all the states in which we hire is $93,. The figures shown represent the minimum and maximum of the range for this role. Individual offers are made dependent upon a…