Assistant Manager Business Intel and Data Science

To assist with planning, managing, and directing business intelligence and data science functions for the branch. Manage and coordinate production and delivery of business intelligence in the form of dashboards and reports to senior management. Lead large-scale analytic projects to improve branch operations and risk position. Assist with developing and maintaining data and analytics roadmap for the department and investigating and leveraging new technologies in data engineering, visualization and analytics to improve the ability to transform data into insight. Serve as subject matter expert regarding business functions, systems, policies and/or procedures. Manage daily activities of professional employees and/or supervisors. Support senior management in developing and executing strategic plans. Work is performed under limited supervision.

• Assist with managing and leading 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
• Assist with optimizing 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
• Assist with leading team to mine large datasets for new sources of information to better understand drivers of performance in branch portfolios
• 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
• Assist with managing the collection, correlation, analysis, and reporting of data and studies of organizational information to drive department operations, business decisions, and mitigate risk/loss
• Assist with managing 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
• Lead 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
• Assist with developing and maintaining team-specific components of the Division Annual Financial Plan (AFP)
• 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
• Assist with developing and implementing new/updated policies, procedures, goals and priorities as necessitated by demands, changing conditions, and/or management request
• Perform other duties as assigned

• Advanced knowledge of applicable federal and state, laws, rules and regulations that govern the functions
• Significant progressively responsible experience leading and managing an analytics operation, preferably in a large financial institution to include operational and regulatory risks and controls
• Working knowledge of any of the following: asset/liability management, financial accounting, cost accounting, budgeting principles and practices, statistics, finance, and/or mathematic modeling
• Working knowledge of banking/financial industry trends, products and services
• Significant experience in the use of statistical modeling software (e.g. SAS or SPSS), and with QRM systems and software
• Working knowledge of the concepts of asset-liability management
• Significant experience demonstrating thought-leadership, initiative-taking, decision-making and creativity solving business problems
• Significant experience managing multiple priorities independently and/or in a team environment to achieve goals
• Significant experience in working with all levels of staff, management, stakeholders, vendors
• Significant experience supervising and leading professional employees
• Advanced organizational, planning and time management skills
• Advanced research, data minin