Navy Federal Jobs (NOW HIRING)

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
 

Navy Federal's Internal Audit team is in the midst of an exciting transformational journey to become a best-in-class Audit function! It is our vision to be a preferred advisor to the business by building and cultivating trust through the consistent execution of high-quality and risk-focused audit and advisory work. We're focused on implementing efficient processes, maximizing our use of technology, integrating data analytics into everything we do, and investing in our biggest asset, our people. If this sounds like the type of team you'd like to be a part of, then we want to learn more about you!

Internal Audit's Manager II, Data Science (Product Engineering) is responsible for leading a team of data analytics, data management and AI specialists focused on developing and maintaining data products to drive Internal Audit's efficiency and effectiveness. Establish continuous monitoring and continuous auditing capabilities to dynamically guide audit coverage across the organization.  Implement development operations best practices, from intake and requirements gathering through user acceptance testing and release management.  Align product development with Internal Audit and Navy Federal's organizational priorities.  Serve as a subject matter expert for the use of predictive models, AI, and Agentic AI to reduce manual effort and increase insights throughout the audit lifecycle, from pre-planning through fieldwork and reporting.   

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you. 

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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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

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. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

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

• Bachelor's degree in related field or equivalent combination of training, education and experience
• College/university degree and 7+ years work experience; 3+ years of management experience
• Strong ability to create an environment that emphasizes data-driven decision-making across an organization, empowering teams to leverage analytical insights effectively
• In-depth knowledge of data science tools and technologies (e.g., Python, R, TensorFlow, SQL) to guide team workflows and methodologies
• Strong presentation and storytelling skills to distill complex models and predictions into understandable insights for diverse audiences, including non-technical stakeholders
• Skill in establishing clear metrics and performance indicators to monitor the effectiveness of data science projects and ensure alignment with business outcomes
• Strong ability to manage multiple teams, ensuring alignment and cohesion in achieving objectives
• Expertise in managing projects from conception to execution, ensuring adherence to timelines and budgets
• Ability to analyze diverse data and identify trends to inform decision-making and strategic planning
• Excellent communication skills, able to convey complex ideas and strategies to various audiences
• Flexibility to adapt strategies and processes in response to evolving business conditions or challenges
• Commitment to fostering team growth through training, feedback, and recognizing achievements

Desired Qualifications

• Experience with Three Lines of Defense (Internal Audit; Enterprise Risk Management; etc.).
• Experience with Agentic AI technologies (e.g., Azure AI Foundry; Copilot Studio; etc.).
• Experience with software development lifecycle phases (analysis; design; development; testing; deployment; maintenance).
• Master's degree in a related field (e.g., Analytics, Computer Science, Data Science, Information Systems, Finance, Statistics, Engineering).
• Experience with visualization tools (e.g., Power BI)
• Experience with Microsoft analytics and data management tools (Azure Data Lake Storage; Azure Data Factory; Azure Synapse Analytics) 
• Expertise in data governance, data management, data quality, and model risk management frameworks (e.g., SR 117, OCC model governance standards).

Additional Information 

Hours:

• Monday - Friday, 8:00AM - 4:30PM

Location:

• 820 Follin Lane, Vienna, VA 22180
• 141 Security Drive, Winchester, VA 22602

• 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 wellsupported, and adheres to professional audit guidance (e.g., IIA Standards).
• Partner with senior Internal Audit leadership and crossfunctional 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