AVP Business Intelligence

Blaze Credit Union•St. Paul, MN

7d•$128,628 - $192,942

About The Position

The Assistant Vice President of Business Intelligence provides enterprise leadership for Blaze Credit Union’s business intelligence, analytics, and performance reporting capabilities. The role guides the vision, priorities, standards, and operating model for turning data into timely, trusted, actionable insights that support executive, strategic, and operational decisions. As a leader and trusted advisor, the AVP partners across the Credit Union to align analytics investments with organizational priorities, strengthen data literacy, advance self-service reporting, and deliver measurable value. The position combines strategic leadership, technical depth, disciplined execution, and clear communication while promoting responsible, secure, and ethical use of data and artificial intelligence. The AVP develops enterprise BI strategy and roadmaps; leads reporting, performance management, analytics, and decision support; supports and develops BI talent and operating practices; and partners with technology, governance, risk, compliance, and business leaders on data quality, security, and responsible AI. The position also guides stakeholder engagement, change leadership, adoption of enterprise reporting tools, and alignment around shared definitions and measures. Success includes trusted reporting, effective use of analytics, stronger data quality and literacy, timely delivery of valuable solutions, responsible governance, and a high-performing team. The role requires a bachelor’s degree in a relevant discipline, five to eight years of progressively responsible related experience, and at least three years of formal leadership experience. Financial services experience is strongly preferred. The salary range is $128,627.89–$192,941.84, with additional benefits.

Requirements

Bachelor’s degree in Business Analytics, Data Science, Statistics, Mathematics, Economics, Computer Science, Information Systems, Finance, Business Administration, or a related field.
Five to eight years of progressively responsible experience in business intelligence, analytics, data science, performance management, or a related discipline.
At least three years of formal leadership experience, including responsibility for talent development, prioritization, and delivery accountability.
Demonstrated experience developing and executing analytics or business intelligence strategies and roadmaps.
Experience designing executive dashboards, KPI frameworks, management reporting, and advanced analytical solutions.
Experience presenting complex insights and recommendations to executive and senior leadership audiences.
Advanced knowledge of business intelligence platforms; strong proficiency in SQL and working knowledge of modern data platforms, data warehousing, semantic models, and relational databases.
Working knowledge of SQL, Python, R, Power BI, or comparable analytical tools and methods.
Knowledge of data visualization, dashboard design, statistics, forecasting, segmentation, predictive analytics, and model lifecycle practices.
Understanding of data governance, metadata, data quality, privacy, security, and responsible AI principles.
Knowledge of financial services operations, including lending, deposits, member behavior, profitability, risk, and operational performance metrics.
Ability to evaluate technical options and communicate tradeoffs in clear business terms.
Strategic leadership and enterprise perspective.
Business and financial acumen.
Data storytelling and executive communication.
Analytical judgment and problem solving.
Influence, collaboration, and relationship management.
Talent development and accountability.
Change leadership and innovation.
Curiosity, integrity, and sound judgment.
Execution, prioritization, and attention to detail.
Ability to sit and stand; communicate by phone and in person; operate a computer and standard office equipment; interact with internal staff and the public; travel to designated offices or business locations; and lift up to 20 pounds.

Nice To Haves

Financial services, banking, or credit union experience is strongly preferred.
Experience leading cross-functional change, governance, or enterprise technology adoption is preferred.
Power BI experience is strongly preferred.

Responsibilities

Develop and execute an enterprise business intelligence and analytics strategy aligned with organizational goals, member needs, and business priorities.
Establish a multi-year roadmap for reporting, dashboards, advanced analytics, and decision-support capabilities.
Identify and prioritize high-value analytics opportunities based on strategic impact, feasibility, risk, and organizational readiness.
Advise executive and senior leaders on performance trends, business implications, emerging opportunities, and data-informed options.
Promote consistent use of data to frame questions, evaluate choices, and measure results.
Provide leadership, direction, and accountability for business intelligence strategy in collaboration with key partners.
Define roles, intake processes, service expectations, development standards, and delivery practices for business intelligence and predictive analytics.
Build business intelligence capability in business acumen, data storytelling, visualization, analytical methods, stakeholder consultation, and emerging technologies.
Plan and manage capacity, vendor relationships, budgets, and resources for priority initiatives and sustainable delivery.
Foster a collaborative, curious, inclusive, and results-oriented team environment.
Lead the design and evolution of enterprise dashboards, scorecards, key performance indicators, and management reporting.
Partner with leaders to define measures, targets, business definitions, and decision rights.
Ensure reporting is accurate, timely, relevant, intuitive, and tailored to executive, board, and operational audiences.
Translate complex analysis into concise narratives, implications, and recommendations that support action.
Establish processes to monitor adoption, usefulness, and business impact of business intelligence products.
Guide descriptive, diagnostic, predictive, and prescriptive analytics supporting growth, financial performance, member experience, risk management, and operational effectiveness.
Oversee forecasting, scenario modeling, segmentation, trend analysis, and other analytical approaches used to inform enterprise decisions.
Ensure analytical methods and models are appropriately designed, documented, validated, monitored, and communicated.
Evaluate responsible uses of artificial intelligence, machine learning, and automation to improve insights and outcomes.
Connect analytical findings to business context and recommend practical actions, tests, or follow-up analysis.
Partner with Information Infrastructure and Technology, Data Governance, Risk, Compliance, and business leaders to strengthen data quality, access, security, lineage, and consistency.
Establish and reinforce common definitions, documentation, certification standards, and controls for critical metrics and reporting assets.
Identify material data limitations and quality concerns, communicate their business impact, and help prioritize remediation.
Champion responsible and ethical data and AI practices, including privacy, transparency, model oversight, and human judgment.
Ensure business intelligence practices comply with applicable laws, regulations, policies, and internal standards.
Build relationships with leaders and subject matter experts across the Credit Union to understand business needs and shape solutions.
Lead discovery and prioritization conversations that translate business questions into analytical requirements and decision-ready deliverables.
Guide adoption of enterprise reporting tools and self-service capabilities through communication, education, governance, and support.
Influence across functions, resolve competing priorities, and create alignment around enterprise definitions and shared measures.
Represent the business intelligence function in strategic initiatives, governance forums, and enterprise planning efforts.
Comply with applicable laws and regulations, including the Bank Secrecy Act, USA PATRIOT Act, and requirements administered by the Office of Foreign Assets Control.
Maintain regular and predictable attendance.
Perform other duties as assigned to support effective department and organizational operations.