AVP, Business Intelligence

The starting salary range for this position is $133,056 - $166,320. Tower also offers bonus opportunity, and a comprehensive benefits plan which includes medical, prescription drug, dental, vision, company-paid life insurance, short-term and long-term disability benefits, and a 401(K) retirement plan with a company match. Tower covers a significant part of the employee premiums for most PPO plans.Lead the future of data and analytics at Tower Federal Credit Union!

Tower Federal Credit Union, a growing, $5 billion, mission-driven financial institution, is seeking a strategic and innovative leader to advance our enterprise data and analytics capabilities.

This is an exciting opportunity to develop and execute Tower's enterprise analytics strategy, transforming data into actionable insights that drive business growth, deepen member relationships, and shape the products, services, and personalized experiences we deliver to our members.

In this highly visible role, you'll oversee business intelligence, advanced analytics, data quality and governance, and the continued development of our new enterprise data lakehouse. You'll partner with senior leaders to drive innovation, foster a data-driven culture, and build and inspire a high-performing analytics team.

We're looking for a forward-thinking leader who combines technical expertise, strategic vision, business acumen, and a passion for developing talent to help shape Tower's next generation of growth.Summary of Position

The Assistant Vice President, Business Intelligence, provides strategic leadership for Tower's enterprise analytics, business intelligence, member insights and data governance capabilities. The position partners across the organization to transform trusted data into actionable business intelligence that supports Tower's strategic priorities, financial performance, member experience and growth objectives.

The AVP leads the continued development of Tower's analytics capabilities, including enterprise reporting, advanced analytics, forecasting and predictive analytics, while strengthening data governance, data literacy and access to trusted information across the organization.

Principal Accountabilities and Functions

• Develops and executes Tower's business intelligence and analytics strategy and roadmap, aligning analytical priorities and capabilities with Tower's strategic objectives and the evolving needs of Senior Leadership and business areas across the organization.

• Collaborates with cross-functional teams to identify strategic business needs and translate them into analytical requirements, leveraging knowledge of the business, credit union operations and industry best practices to provide actionable insights and strategic decision support.

• Leads and coordinates enterprise analytics projects and initiatives, partnering with business areas to secure the resources, expertise and organizational support necessary to achieve strategic, business and financial objectives.

• Designs and implements processes, procedures and recommended policies that strengthen analytics capabilities, address data barriers and support effective delivery of analytics initiatives.

• Leads analytical initiatives that deepen Tower's understanding of member, household, product and financial performance, including segmentation, relationship growth, product penetration, deposit behavior, retention, profitability and other strategic business questions.

• Provides organizational leadership and subject matter expertise across business intelligence, data science, advanced analytics, data visualization, data mining and data transformation.

• Manages the credit union’s enterprise data governance program, ensuring data assets are trusted, governed and available to meet internal, regulatory/compliance and member needs.

• Oversees data quality practices to identify and address data anomalies, discrepancies and other data integrity issues, ensuring the reliability of information used for business intelligence and analytics.

• Advances Tower's data-driven culture through data literacy, governed self-service analytics, standardized measures and improved access to trusted information, enabling business areas to answer routine analytical questions while maintaining appropriate data governance and quality standards.

• Advances Tower's use of forecasting, predictive analytics and scenario analysis to identify emerging trends, opportunities and risks and provide increasingly forward-looking decision support to business leaders.

• Establishes and manages priorities for enterprise analytics initiatives based on strategic importance, business value, resource requirements and organizational impact, and measure the effectiveness and value of Business Intelligence capabilities.

• Manages, leads, mentors and develops Business Intelligence staff, building the technical, analytical and business capabilities necessary to support Tower's evolving enterprise analytics needs.

• Manages Tower's business intelligence technology, data and analytics platforms, and related vendor relationships, including the Enterprise Data Warehouse.

• Leads and supports analysis of market research, competitive intelligence and industry trends to inform Tower's strategic positioning, growth opportunities and understanding of member needs and preferences.

• Serves as a strategic analytics partner to Senior Leadership and business leaders, translating complex data and analysis into clear insights, business implications and actionable recommendations. Present analytical findings and strategic insights to Senior Leadership, the Board and other stakeholders as appropriate.

• Partners with Compliance, Risk and other business areas to provide analytical capabilities and decision support related to trend analysis, anomaly identification, data quality and emerging business or regulatory risks.

• Manages the Business Intelligence department budget.

• Performs other duties as assigned.

Required Qualifications

• Bachelor's degree in a related field and a minimum of 8 years of progressively responsible experience in business intelligence, analytics, data science, financial analysis or a related discipline; OR a minimum of 10 years of relevant professional experience. Master’s degree preferred.

• OR an equivalent combination of education and experience.

• Minimum of 3 years of demonstrated leadership experience, including managing, developing and coaching professional staff and leading cross-functional initiatives.

• Demonstrated knowledge and experience with advanced analytics, forecasting, predictive modeling and scenario analysis.

• Demonstrated experience developing or executing analytics strategies, roadmaps and enterprise-level analytical initiatives.

• Demonstrated experience applying analytics to complex business, financial, member, and operational decisions.

• Strong knowledge of and experience working with modern business intelligence, data visualization, enterprise data warehouse/lakehouse, cloud data and analytics platforms and tools, including Microsoft Power BI, Azure and Databricks, or comparable technologies.

• Strong working knowledge of SQL and relational data concepts, with the ability to understand and evaluate complex data structures, queries and analytical methodologies.

• Knowledge of analytical programming and data science tools such as Python and/or R, including their application to statistical analysis, forecasting, predictive modeling and machine learning.

• Familiarity with emerging artificial intelligence and machine learning capabilities and their responsible application to business intelligence and analytics.

• Demonstrated experience translating complex analytics into strategic business insights and recommendations for senior leadership.

Knowledge, Skills and Abilities

• Connects data and analytics to organizational strategy and translates complex business questions into actionable insights.

• Understands financial products, business drivers, member behavior and market dynamics and applies analytics to improve business and financial decisions.

• Establishes analytical priorities and leads enterprise initiatives involving business intelligence, advanced analytics, forecasting and predictive modeling.

• Demonstrates strong knowledge of modern data platforms, business intelligence, data governance, data quality and analytical technologies.

• Translates complex analysis into clear insights, visualizations and recommendations for Senior Leadership and other stakeholders.

• Builds effective partnerships, influences decisions and creates alignment across business and technical functions.

• Leads, coaches and develops professional staff and builds high-performing analytical teams.

• Prioritizes competing needs and resources, solves complex problems and exercises sound judgment in evaluating business opportunities, risks, costs and potential returns.

• Demonstrates knowledge of credit union operations, financial products and services, and applicable regulatory requirements.

• Knowledge of and adheres to credit union policies and procedures and all regulations related to the Bank Secrecy Act, USA PATRIOT Act and OFAC.

Working Conditions

• Ability to lift up to 20 lbs. with or without assistance.

• Ability to work the hours needed which may extend beyond the defined work schedule when operating conditions dictate