Jobs at Navy Federal Credit Union

Administer and support Oracle RAC databases on AIX and OCI, including installs, migrations, performance tuning, automated patching, Data Guard DR, monitoring with OEM, automation with Ansible/Shell, security enforcement, incident/change management via ServiceNow, 24/7 on-call rotations, documentation, and engineering-driven system design and enhancements.

Lead design, implementation, maintenance, and optimization of Navy Federal mainframe systems. Troubleshoot and configure mainframe hardware/software, work with obsolete tools and languages, deliver large-scale projects, mentor junior engineers, and align mainframe architecture with business goals.

Own and support COTS applications and data pipelines in Microsoft Azure; troubleshoot production incidents; implement automation and testing; collaborate with stakeholders, vendors, and engineering teams; apply Generative AI and intelligent automation to improve operations and efficiency.

Lead Navy Federal's Treasury division overseeing investments & capital markets, financial planning, risk management, corporate costing, and mortgage securitization. Define strategy for liquidity, borrowing, derivatives, and balance-sheet risk; direct stress testing, profitability and cost accounting, vendor oversight, and regulatory compliance. Provide strategic recommendations to the CFO and Board, drive divisional goals, improve operational efficiency, mentor staff, and manage cross-functional interactions with auditors, actuaries, and regulators to ensure capital and liquidity adequacy.

Provide financial consulting to clients, manage investment needs, conduct seminars, establish relationships, and ensure compliance with regulations.

The Financial Advisor provides financial consulting to clients, manages smaller accounts, develops business relationships, and ensures compliance with regulations.

Provide day-to-day analysis, research, and resolution of ATM network issues. Support ATM hardware ordering, invoice processing, vendor management, performance monitoring, reporting, and project activities. Collaborate with Home Office and global teams to compile operational data and meet reporting and operational deadlines.

The role involves supporting system operations and maintenance, managing project tasks, analyzing data for operational efficiency, and providing technical guidance in controls and HVAC systems.

Design and implement enterprise visualizations and augmented-analytics capabilities (AI/ML, NLQ, NLG). Lead BI modernization, governance, self-service enablement, Analytics User Communities, and the Analytics Service Catalog. Mentor teams, drive adoption, ensure platform reliability, and align visualization standards with cloud and data architecture.

Perform risk assessments and controls testing to identify operational, financial, and regulatory risks. Develop risk assessment scopes, gather and analyze data, recommend mitigation and remediation, lead testing lifecycles, and present findings and improvement plans to management to ensure compliance and operational effectiveness.

Lead advanced analytics and predictive modeling to optimize marketing channels. Design, develop, and deploy complex models and algorithms, test hypotheses, communicate insights to senior leaders, mentor team members, and drive best practices in model lifecycle and ethical AI.

Lead enterprise-wide change management for large, complex transformations: design and execute change strategies, assess impacts, build stakeholder engagement and readiness, advise executives, integrate with program roadmaps, develop OCM frameworks and governance, deliver training and capability building, and drive adoption and sustained outcomes across global initiatives.

Serve as servant leader and coach for one or more Agile Release Trains (ARTs). Plan and facilitate PI Planning and Inspect & Adapt, manage program backlog, dependencies, risks, and metrics, enable predictable delivery across multiple Scrum/Kanban teams, and drive continuous Lean-Agile improvement aligned to enterprise strategy.

Lead credit card underwriting decisioning initiatives by gathering and documenting requirements, analyzing processes and data, coordinating testing and implementations, validating results, and monitoring post-deployment. Partner with stakeholders, vendors and technology teams to deliver system enhancements, forecasting models, and operational improvements.

Supervise and deliver learner-centric training programs and multimedia learning solutions. Lead needs assessments, design curricula, manage projects, evaluate course effectiveness, mentor staff, collaborate with stakeholders, and implement process improvements to meet organizational learning objectives.

Lead enterprise architecture across business and technology portfolios, translating strategy into target-state and transition architectures. Guide modernization, cloud adoption, fintech integrations, governance, security, and compliance. Produce architecture artifacts, participate in governance forums, identify risks, and influence stakeholders to ensure scalable, secure, and member-centric technology solutions.

Lead and manage ServiceNow platform operations, oversee 20+ instances, stakeholder and vendor relationships, drive platform strategy, roadmap, upgrades, CMDB and discovery, team development, budget and compliance, and promote enterprise adoption of automation and AI capabilities.

Lead credit-risk data analysis and BI development to inform lending decisions. Aggregate and analyze structured and unstructured data, build advanced dashboards and reports, identify trends and root causes, perform forecasting and statistical analysis, present insights to senior leadership, lead analytics projects, and mentor junior analysts.

Manage and monitor a strategic portfolio of lending initiatives from inception through implementation. Partner with stakeholders to prioritize, identify dependencies and risks, report status to executives, ensure deliverables meet standards, resolve portfolio issues, analyze portfolio performance, and provide recommendations to inform strategic decisions.

Lead development and improvement of enterprise data quality, metadata, information lifecycle management, and governance standards. Advise stakeholders, implement data quality tooling, monitor metrics, conduct assessments, remediate control gaps, provide training and documentation, support audits/compliance, and communicate findings to leadership.