Manager, Business Intelligence & Data Science

Overview

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

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