Manager, Business Intelligence & Data Science

Company: Navy Federal Credit Union
Location: Vienna
Posted on: May 17, 2025

Job Description:

Overview

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To plan, manage, and direct business intelligence and data science functions within the Lending department, with a strong emphasis on credit risk analysis and portfolio performance. Manage and coordinate production and delivery of business intelligence in the form of dashboards and reports to senior management with actionable insights into credit risk drivers and member behavior. Direct large-scale analytic projects to improve operations and risk position. Develop and maintain data and analytics roadmap integrating emerging technologies, predictive modeling, and diverse data sources to enhance credit risk assessment. Serve as subject matter expert regarding business functions, systems, policies, and/or procedures. Manage daily activities of professional employees and/or supervisors. Support executive management in developing and executing strategic plans. Work is performed under limited supervision.

Responsibilities

Manage and lead business intelligence development, including requirements gathering, design, production implementation and maintenance
Oversee project management of multiple reporting, dashboard development, ad-hoc analysis and data initiatives
Optimize business operation performance by analyzing current and forecasting future performance to support strategic initiatives
Evaluate/develop/implement analytical techniques and best practices to gain a competitive advantage
Maintain understanding of business direction, environment and strategies and work closely with stakeholders to ensure analytic output addresses business needs
Lead team to mine large datasets for new sources of information to better understand drivers of performance
Collaborate with ISD to design and build the technology infrastructure necessary to achieve data-driven analytic solutions
Partner with internal business partners and external vendors to ensure successful data integration/engineering, and data warehousing
Ensure that data processing standards, guidelines, procedures, controls and best practices are followed across the department
Develop dashboards leveraging best practices in data visualization and champion the use across the department
Manage the collection, correlation, analysis, and reporting of data and studies of organizational information to drive operations, business decisions, and mitigate risk/loss
Manage the maintenance of databases to ensure operational efficiency and reduce operational risk
Identify and resolve operational and performance gaps and obstacles; develop and implement changes and improvements
Oversee the development of reports and solutions to establish and strengthen system controls, facilitate process management, data reconciliation, to improve services and products
Maintain thorough knowledge of and ensure compliance with applicable federal and state laws, rules, regulations and NFCU policies and procedures
Develop and maintain team-specific components of the Division Annual Financial Plan (AFP)
Lead or participate in organization-wide project teams; monitor projects assigned to the department and ensure milestones are completed on schedule
Partner with senior management to ensure internal/external regulatory exam preparedness
Develop and implement new/updated policies, procedures, goals and priorities as necessitated by demands, changing conditions, and/or management request
Perform other duties as assigned

Qualifications

Advanced knowledge of applicable federal and state, laws, rules and regulations
Extensive progressively responsible experience leading and managing an analytics operation in a large financial institution, including operational and regulatory risks and controls
Advanced knowledge of any of the following: asset/liability management, financial accounting, cost accounting, budgeting principles and practices, statistics, finance, and/or mathematic modeling
Advanced knowledge of banking/financial industry trends, products and services
Extensive experience in the use of statistical modeling software (e.g. SAS or SPSS), and with QRM systems and software
Advanced knowledge of the concepts of asset-liability management
Extensive experience demonstrating thought-leadership, initiative-taking, decision-making and creativity solving business problems
Extensive experience managing multiple priorities independently and/or in a team environment to achieve goals
Extensive experience in working with all levels of staff, management, stakeholders, vendors
Extensive experience supervising and leading professional employees
Desired - Advanced knowledge of NFCU's policies, procedures, products, and services
Desired - Significant experience leading and managing in diverse and complex operational environments
Expert organizational, planning and time management skills
Expert research, data mining/querying, analysis, and reporting skills, including proficiency in sophisticated statistical methods and modeling, forecasting, and cost/benefit/risk analysis
Expert skill in results-oriented leadership in a challenging environment
Expert skill in project management to include establishing and leading project teams; managing timelines/deadlines/resources; ensuring successful project implementation
Expert skill presenting findings, conclusions, alternatives and information clearly and concisely
Expert skill in producing desired results and achieving goals and objectives
Expert skill to influence, negotiate and persuade to reach agreeable exchange and positive outcomes
Expert verbal and written communication skills
Expert database, word processing, spreadsheet, and presentation software skills
Master's degree in a Finance, Business Administration, or related field, or the equivalent combination of training, education and experience

Desired Qualifications

Extensive experience analyzing and managing credit risk across lending portfolios within financial institutions, including the development and application of risk assessment frameworks to support sound credit policy and strategic decision-making
Significant experience with automated risk modeling systems and software
Experience assimilating technical, complex financial and economic data

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

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--- Yello and WayUp Top 100 Internship Programs

From Fortune. -2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Keywords: Navy Federal Credit Union, Arlington , Manager, Business Intelligence & Data Science, Executive , Vienna, Virginia