Navy Federal Credit Union

Data Scientist

• Responsible for developing and deploying CECL predictive models, advanced analytics, and advanced statistical techniques, solutions and actionable insights that deliver business impact.
• Develops strategic priorities, shapes analytical approaches, ensures model quality and performance and ensures alignment with corporate initiatives and goals.
• Manage daily activities of professional employees.
• Work is performed under limited supervision.

Manager II, Data Science – CECL Modeling

Director

• Develop and direct a multi-segment employer brand strategy aligned to enterprise priorities that translates Navy Federal’s Employer Value Proposition (EVP) into targeted, scalable activation across priority talent markets
• Ensure consistency, credibility, and differentiation across all candidate and employee touchpoints
• Design and oversee a portfolio of campaigns aligned to critical hiring needs, workforce planning, and market dynamics, with clear segmentation, channel strategy, and performance expectations, executed in partnership with internal brand and comms partners
• Create a unified framework that integrates talent acquisition programs into a cohesive brand and engagement ecosystem reinforcing enterprise talent outcomes
• Establish a data-driven approach to evaluating and optimizing job boards, sourcing channels, media investments, and employer brand vendors including clear performance benchmarks and reallocation strategies
• Continuously evaluate performance and reallocate investments based on ROI and market intelligence; identify and scale emerging channels and partnerships
• Partner across Talent Acquisition to implement executive-level reporting, dashboards, and insights that connect brand and campaign activity to funnel metrics, cost efficiency, and quality of hire outcomes
• Define and operationalize employer brand and campaign performance metric; drive data-informed decision making and continuous optimization
• Partner with Corporate Marketing, HR Business Partners, Strategic Workforce Planning, and Talent Acquisition; influence stakeholders on talent market positioning and investment strategy
• Partner with TA Process and Quality Optimization team to ensure employer brand is consistently reflected across structured interview processes, candidate communications, and hiring experiences
• Partner with risk teams and TA leadership to ensure employer brand strategies incorporate fraud-awareness and candidate-protection messaging into external brand channels where appropriate
• Provide leadership, direction, prioritization, and feedback across direct reports and an interdisciplinary team to enable high-quality creative execution aligned to enterprise brand standards
• Cultivate a culture of ambassadorship and advocacy, where team members actively represent and amplify the employer brand internally and externally
• Develop leadership capability within the team, enabling both strategic thinking and operational excellence
• Foster an environment of psychological safety, ownership, and continuous learning; prioritize team health through intentional investment in upskilling, development, and career growth

Director, Strategic Employer Brand Programs

Manager

• Responsible for leading and managing systems analysis initiatives and ensure that business systems infrastructure supports organizational goals and drive operational success.
• The Manager II provides leadership to leaders and/or experienced professionals and is accountable for the performance and results of multiple related teams.
• Implements and leads strategies by establishing operational objectives, policies and plans that effect immediate operations and may have department or organizational impact.

Manager II, Systems Analysis

Call Center Representative

• Respond to inquiries and requests from members and other individuals within a 24/7 high volume, schedule-driven and structured contact center operation (CCO)
• Provide information regarding Navy Federal products and services demonstrating knowledge, active listening, multiple system adaptability and engagement methods to ensure optimal member experience and customer service
• Perform transactions or related functions for mortgage and/or other Navy Federal accounts
• Advise members of other products and services that may fit their needs and provide opportunities for positive member interaction

Member Service Representative II – Mortgage Loan Originator, Contact Center Operations

• To respond to inquiries and requests from members and other individuals within a 24/7 high volume, schedule-driven and structured contact center operation (CCO).
• Provide information regarding Navy Federal products and services demonstrating knowledge, active listening, multiple system adaptability and engagement methods to ensure optimal member experience and customer service.
• Perform transactions or related functions for mortgage and/or other Navy Federal accounts.
• May perform transactions or related functions for savings, checking, consumer loans, credit cards, IRAs and/or other Navy Federal accounts.
• To advise members of other products and services that may fit their needs and provide opportunities for positive member interaction.

Member Service Representative II – Mortgage Loan Originator

• Plan, direct and manage the multi-function operations of the Mortgage Post Settlement branch
• Harmonize operations to ensure excellent member service and maximize operational efficiency
• Evaluate and adjust branch work quality, staff performance, systems, processes and procedures to meet goals
• Serve as subject matter expert regarding branch functions, systems, policies and/or procedures
• Manage daily activities of professional employees and/or supervisors
• Support executive management in developing and executing strategic plans
• Act as AVP/VP in the incumbent's absence

Manager, Mortgage Post Settlement – Loan Delivery

Risk

• Leads a team of Enterprise Data Risk Governance professionals, ensuring the effective execution of Data Sharing risk oversight and compliance.
• Develop and implement Data Sharing risk mitigation strategies while collaborating with internal stakeholders to align data risk management practices with organizational objectives.
• Manage execution of Data Risk program on behalf of senior leaders, delivering measurable outcomes.
• Provide thought leadership on data risk governance and ensure adherence to regulatory requirements, policies, and industry best practices.

Manager I, Enterprise Data Risk

• Provides strategic leadership for Program Delivery, Performance & Initiative support functions for the business, including project/program management, portfolio management, and/or business optimization.
• Oversees multiple operational and support activities, ensuring alignment with enterprise strategy and delivery excellence.
• Leads a broad scope of business activities that include business deposit products, debit cards, digital payments, treasury management operations, business fraud and BSA/AML, member onboarding, and associated depository technologies.
• The role also provides senior leadership oversight of Business Solutions analytics, ensuring disciplined performance management, reporting, and insight-driven decision-making.
• Drives operational performance, owns member experience, and growth outcomes across Business Solutions, ensuring initiatives are data-informed, aligned to enterprise priorities, and executed with strong governance, risk management, and cross-functional collaboration.

Senior Manager, Business Performance, Initiatives

Compliance

• Serve as a trusted advisor to risk function leaders across the three lines of defense on risk program maturity, governance, and optimization
• Provide strategic recommendations to strengthen enterprise risk programs, align to industry best practices and drive consistency and integration across risk functions
• Influence and contribute to the long-term strategy for GRC technology and risk program evolution
• Partner with risk teams across the three lines of defense, building strong relationships with senior stakeholders to drive alignment, adoption, and consistency in risk processes and technology
• Lead design and maturation of enterprise initiatives and risk programs including RCSA, Issue Management, 3rd Party Risk Management, Business Continuity, Data Risk Governance, Model Risk, Financial Risk and Credit Risk
• Act as a subject matter expert in ServiceNow GRC including architecture, data models, and integrations
• Lead translation of business needs into platform capabilities, configurations, and solution designs ensuring scalable, sustainable, and enterprise-aligned solutions
• Ensure quality through UAT oversight, change management processes, and post-implementation reviews
• Advice on platform governance, roadmap prioritization, and enterprise-wide adoption strategies
• Define success metrics (KRIs, KPIs) and reporting structures to enhance risk visibility and decision-making
• Mentor and guide junior team members and serve as a lead resource across the function

Senior Principal Risk Analyst – Governance Risk Compliance

Product Analyst

• Provide analysis on Navy Federal's desktop infrastructure and environment to identify and mitigate vulnerabilities, assess policy and process impacts, and drive risk reduction.
• Perform root cause and trend analysis, monitor KPIs, and deliver data-driven recommendations to strengthen security and operational effectiveness.
• Collaborate with external stakeholders, and business units to resolve vulnerabilities, support audits, and ensure compliance with enterprise standards.
• Develop SOPs, reporting, and documentation to standardize practices and sustain audit readiness.
• Provide issue management support, conduct impact assessments, and troubleshoot vulnerability-related issues while consistently meeting defined deadlines.

Technology Product Analyst

Financial Planning and Analysis

• Provide basic financial consulting services to assist members and non-members with identifying their financial goals and objectives
• Acts as a catalyst for the promotion and growth of NFFG products and services
• Recommends appropriate mixture(s) of insurance/investment products and services to achieve the financial client's goals as a registered representative/advisor/agent of Navy Federal Financial Group (NFFG) and subsidiaries, or incumbent financial firms
• Manages moderate dollar volume and moderate member bases

Financial Advisor

Analytics Engineer

• Design and implement advanced data visualizations and interactive dashboards that transform complex data into clear, actionable insights, applying strong user experience principles to drive understanding and data-driven decision-making.
• Lead the adoption and integration of Augmented Analytics capabilities, including AI/ML-driven insights, natural language query (NLQ), and natural language generation like “Talk to your Data” features within enterprise BI platforms.
• Lead and evolve self-service analytics (BIaaS) enablement frameworks, providing training, guidance, and reusable assets to empower business users and improve data literacy across the organization.
• Drive enterprise adoption and engagement through Analytics User Communities (Power BI/Tableau User Group etc.), incorporating feedback to continuously improve analytics capabilities and user experience.
• Own and manage the Analytics Service Catalog, ensuring user requests are fulfilled through standardized, governed, and scalable solutions aligned with enterprise priorities.
• Lead modernization efforts by migrating legacy BI assets to enterprise platforms (Power BI/Tableau), improving performance, scalability, and alignment with enterprise data strategy.
• Establish and maintain governance practices for visualization assets, including certification, reuse, lifecycle management, and adherence to data standards.
• Maximize the value of BI solutions by ensuring strong user engagement and platform reliability — tracking usage and performance, managing access/licensing, and providing proactive support to maintain solution integrity.
• Identify opportunities for optimization, automation, and innovation across analytics platforms, user experience, and data consumption patterns.
• Establish and enforce data visualization standards and best practices to ensure consistent, high-quality, user-centric analytics experiences across platforms.
• Provide subject matter expertise in BI and analytics, guiding Agile project teams with technical leadership to drive successful solution delivery.
• Mentor team members and others through Job Rotation/Shadow or skill up program and promote best practices in data visualization, storytelling, and analytics design.

Senior Data Visualization, Augmented Analytics Engineer

Data Analyst

• Partner with business stakeholders and other analysts to understand business data needs
• Capture data requirements, and perform data collection, processing and cleaning
• Provide inputs for data science and business intelligence projects
• Perform analytical on large data sets to support departmental and organizational objectives
• Solve a range of mostly straightforward problems with some increased scope and complexity
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Collaborate with senior staff to communicate findings and insights to stakeholders

Data Analyst, Data Quality

Business Intelligence Developer

• Support business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to leadership via dashboards and reports.
• Analyze business problems and issues using business intelligence tools that incorporate data from internal and external sources.
• Work independently to interpret and analyze complex business challenges that have a significant impact on the function or branch.
• Collect, aggregate, and analyze data from multiple internal and external sources, including structured and unstructured data sets, to drive insights into business performance.
• Develop, maintain, and manage advanced reporting, dashboards, and BI solutions.
• Identify, analyze, and interpret trends or patterns and prepare ongoing reports and data visualizations (e.g., charts, dashboards, heat maps) to support business decisions.
• Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems.
• Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profits of new business initiatives.
• Understand data gaps and tie data components together for visualizations.
• Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance.
• Provide reporting solutions and respond to ad-hoc report requests across multiple business areas.
• Create specifications for reports and analysis based on business needs and required or available data elements.
• Assist with the development and enhancement of practices, procedures, and instructions.
• Develop and maintain strong working relationships with team members, subject matter experts, and leaders; work with senior management on complex issues.
• Lead medium to large projects and initiatives.
• Mentor lower-level staff.
• Manage a portfolio of dashboards, monitor use and performance, and make recommendations to management for enhancement or changes.

Principal Business Intelligence Analyst

• Lead and manage a team of technical staff responsible for developing reusable data products such as dashboards, automations and Agentic AI capabilities to increase audit efficiency and effectiveness.
• Maintain Internal Audit’s data product backlog, including the intake, refinement, and prioritization of development in alignment with Internal Audit’s organizational priorities.
• Oversee the use of automation to reduce manual effort across the audit lifecycle, from pre-planning and planning through fieldwork, issues management and reporting while ensuring audit work meets quality standards, is well‑supported, and adheres to professional audit guidance (e.g., IIA Standards).
• Partner with senior Internal Audit leadership and cross‑functional teams (e.g., Model Risk Management, Enterprise Data Risk Governance) to implement appropriate frameworks and controls to manage AI and Agentic AI risk.
• Provide expert review of technical work products including code, requirements documentation, UAT results and project plans to ensure accuracy, completeness, and reliability of data products.
• Drive the evolution of our data science practices by implementing best practices in model development, validation, and deployment across various business units.
• Collaborate with senior leadership and cross-functional teams to define strategic objectives, establish key performance indicators (KPIs), and prioritize projects that deliver actionable insights to the organization.
• Communicate complex data-driven insights in a clear and concise manner to diverse audiences, fostering understanding and buy-in from stakeholders at all levels.
• Manage multiple teams and/or specialized units to include resource planning, ensuring the execution of complex modeling initiatives; partner with leaders in analytics, engineering, and business domains to integrate models into workflows.
• Analyze large complex datasets to extract actionable insights and present findings to stakeholders, using effective visualization and storytelling techniques.
• Review complex code and analyses to ensure accuracy, scalability, and ethical alignment.
• Ensure the continuous improvement of data quality and governance processes by collaborating with data engineering and IT teams.
• Ensure appropriate use of advanced statistical techniques and manage model lifecycle governance.
• Develop and manage budgets related to initiatives, ensuring effective resource utilization and alignment with organizational goals.
• Coach teams on cutting-edge data science methods and foster a culture of experimentation and curiosity.
• Research, evaluate, and integrate new data science technologies and methodologies to enhance the team's capabilities and drive innovation.