AVP Business Intelligence

Description

Role Summary

The Assistant Vice President of Business Intelligence provides enterprise leadership for Blaze Credit Union's business intelligence, analytics, and performance reporting capabilities. This role guides and supports the vision, priorities, standards, and operating model that transform data into timely, trusted, and actionable insights for executive, strategic, and operational decision-making.

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 ensure business intelligence solutions deliver measurable value. The role balances strategic leadership, technical depth, disciplined execution, and clear communication while promoting responsible, secure, and ethical use of data and artificial intelligence.

Essential Responsibilities

Enterprise Business Intelligence Strategy

• •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 a culture in which leaders and teams consistently use data to frame questions, evaluate choices, and measure results.

Leadership, Talent, and Operating Model

• •Provide leadership, direction, and accountability for business intelligence strategy in collaboration with key partners.
• •Define clear 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 to support priority initiatives and sustainable delivery.
• •Foster a collaborative, curious, inclusive, and results-oriented team environment.

Reporting and Performance Management

• •Lead the design and evolution of enterprise dashboards, scorecards, key performance indicators, and management reporting.
• •Partner with leaders to define meaningful measures, targets, business definitions, and decision rights.
• •Ensure business intelligence reporting is accurate, timely, relevant, intuitive, and appropriately 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.

Analytics and Decision Support

• •Guide descriptive, diagnostic, predictive, and prescriptive analytics that support 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 opportunities to use artificial intelligence, machine learning, and automation responsibly to improve insights and outcomes.
• •Connect analytical findings to business context and recommend practical actions, tests, or follow-up analysis.

Data Governance, Quality, and Risk

• •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 appropriate privacy, transparency, model oversight, and human judgment.
• •Ensure business intelligence practices comply with applicable laws, regulations, policies, and internal standards.

Stakeholder Partnership and Change Leadership

• •Build strong relationships with leaders and subject matter experts across the Credit Union to understand business needs and shape effective solutions.
• •Lead discovery and prioritization conversations that convert business questions into clear 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.

Requirements

Education

Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, Economics, Computer Science, Information Systems, Finance, Business Administration, or a related field required.

Experience

• •Minimum Five to Eight years of progressively responsible experience in business intelligence, analytics, data science, performance management, or a related discipline.
• •Minimum Three or more 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.
• •Financial services, banking, or credit union experience strongly preferred.
• •Experience leading cross-functional change, governance, or enterprise technology adoption preferred.

Technical and Business Knowledge

• •Advanced knowledge of business intelligence platforms, with Power BI experience strongly preferred.
• •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.

Leadership Competencies

• •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

Success Measures

Success in this role will be demonstrated through:

• •A clear enterprise business intelligence strategy and roadmap that is aligned with organizational priorities.
• •Increased leadership adoption and effective use of trusted dashboards, scorecards, and analytical insights.
• •Consistent definitions, stronger data quality, and improved confidence in enterprise reporting.
• •Timely delivery of high-value analytics soluti