AVP, Business Intelligence

Tower • Laurel, MD

4d

About The Position

The Assistant Vice President (AVP) of Business Intelligence is a key leadership role responsible for Tower Federal Credit Union’s data strategy, information assets, data governance, analytics, and reporting for leadership. The position oversees enterprise reporting and analytics, member insights, market research, and data literacy, and leads a team that analyzes complex data, identifies trends, and delivers actionable insights to stakeholders.

The AVP develops and executes data-driven strategies to support business growth, improve member value and decision-making, and shape products, services, and member experiences. The role combines advanced quantitative, statistical, analytical, data-mining, financial-industry, and programming expertise to address business challenges using data from internal and external sources. It also manages Tower’s enterprise data governance program, data quality, business intelligence technology and vendors, and the continued development of the enterprise data warehouse and data lakehouse.

The AVP partners with senior leaders and cross-functional teams, including IT and Information Security, to identify business needs, integrate disparate data sources, coordinate data initiatives, and promote a data-driven culture. The role mentors and develops analysts, presents findings and recommendations to senior management, the board of directors, and other stakeholders, and oversees the Business Intelligence budget. The position may require work beyond the defined work schedule when operating conditions dictate.

Requirements

• Bachelor’s degree in a related area of study, evidence of continuing professional development in data analytics, and 6 years of relevant work experience; or a minimum of 10 years of relevant work experience in analytics and modeling environments in the financial or marketing industry; or an equivalent combination of education and experience.
• Thorough knowledge of quantitative and qualitative research, statistical analysis and reporting, business intelligence, and analysis of large data sets.
• Extensive demonstrated experience in quantitative and qualitative research, statistical analysis and reporting, business intelligence, or analysis of large data sets.
• Knowledge of data science and predictive modeling.
• Extensive experience with data warehouses and associated business intelligence tools.
• Demonstrated experience mentoring employees and project management experience.
• Strong interpersonal communication skills and the ability to explain complex information to varied audiences.
• Ability to communicate effectively orally and in writing.
• Thorough knowledge of financial products and services.
• Ability to create and modify word-processing and spreadsheet documents using formulas and data tools, including graphs, in Microsoft Word and Excel.
• Ability to create relevant, readable graphs, charts, and presentations.
• Ability to interpret statistical and other quantitative data related to market conditions, product penetration, and membership penetration.
• Excellent public speaking and presentation skills.
• Ability to read and interpret business periodicals, professional journals, and government regulations.
• Ability to write speeches, business correspondence, and proposals for diverse audiences.
• Ability to provide explanations or instruction one-on-one, in person or over the phone.
• Highly developed coaching skills for individual staff guidance and support.
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to identify cause-and-effect relationships and evaluate risks and costs against potential returns.
• Ability to work with minimal supervision, independently, and in a team environment.
• Ability to prioritize tasks, complete daily assignments, and organize workload to meet competing deadlines.
• Ability to arrive at work routinely and promptly.
• Ability to receive and provide constructive feedback.
• Ability to work productively and professionally under stress.
• Ability to motivate and guide others, facilitate group and one-on-one discussions, and gain consensus.
• Ability to maintain sensitive and confidential information and interact professionally with colleagues and managers.
• Knowledge of and adherence to credit union policies and procedures and regulations related to the Bank Secrecy Act, the USA PATRIOT Act, and OFAC.
• 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.

Nice To Haves

• Master’s degree preferred.

Responsibilities

• Oversee development and implementation of data-driven strategies that support business growth, enhance member value, and improve decision-making.
• Collaborate with cross-functional teams to identify business needs and translate them into data requirements and strategic decision support.
• Coordinate new data implementation efforts and secure support and resources from other areas of the credit union.
• Design processes and develop procedures to address data barriers to projects and business objectives.
• Serve as a subject matter expert in data science, data visualization, data mining, and data transformation.
• Manage the enterprise data governance program and ensure data assets are trusted, governed, and available for internal, regulatory, compliance, and member needs.
• Monitor data quality and troubleshoot anomalies and discrepancies to maintain data integrity.
• Support a data-driven culture through data-literacy and training initiatives.
• Lead analytics initiatives intended to improve revenue, enhance the member experience, or decrease costs.
• Work with IT and Information Security to integrate disparate data sources across database platforms.
• Research, propose, and implement improvements to business intelligence infrastructure.
• Manage, lead, mentor, and coach analysts to develop their skills, best practices, and data science knowledge.
• Manage and administer Tower’s business intelligence technology and vendors, including the Enterprise Data Warehouse.
• Analyze market research, competitor data, and industry trends to understand competitive positioning and member needs and preferences.
• Design processes and procedures and recommend policies in support of new analytics initiatives.
• Present findings and recommendations clearly and concisely to senior management, the board of directors, and other stakeholders.
• Facilitate internal and external partnerships and collaboration with department leaders to coordinate research and data analyses.
• Oversee the Business Intelligence budget.
• Perform other duties as assigned.

Benefits

• Bonus opportunity.
• Comprehensive benefits plan including medical, prescription drug, dental, and vision coverage.
• Company-paid life insurance.
• Short-term and long-term disability benefits.
• 401(k) retirement plan with company match.
• Company covers a significant part of employee premiums for most PPO plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior