Senior Data Visualization and Augmented Analytics EngineerNavy Federal • Vienna, Virginia, United States

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Senior Data Visualization and Augmented Analytics Engineer

Navy Federal

Vienna, Virginia, United States

Vienna, Virginia, United States

Über

Senior Data Visualization and Augmented Analytics Engineer Trending Job Description The Data Visualization & Augmented Analytics Engineer supports the Analytics Center for Enablement (C4E) by defining and advancing enterprise visualization and augmented analytics capabilities. This role is responsible for establishing standards, enabling self-service analytics, Mobile BI and integrating Augmented Analytics capabilities to improve decision-making across the organization. In this role, you will design visualization solutions that ensure visualizations tell a data-driven story through immersive, interactive, and intuitive dashboard design. You will develop enterprise frameworks for visualization, mobile BI, and augmented analytics, aligning with modern data architecture and cloud strategies. You will drive adoption and success of analytics capabilities through engagement with enterprise Analytics User Communities and by owning the Analytics Service Catalog, ensuring user requests are effectively enabled through standardized, governed, and scalable solutions. Your expertise in visualization, user experience, and AI-enabled analytics will support the delivery of high-quality, business-value-driven insights across the enterprise. 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. Responsibilities 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. Perform other duties as assigned. Qualifications Bachelor’s degree in computer science or related field, or the equivalent combination of education, training, and experience. Experience with UI/UX design principles to develop immersive, interactive, and intuitive visualizations. Experience in leading Analytics User Communities, presenting to various audiences, and collaboration at various levels to drive success with Analytics C4E. Significant experience in delivering data analytics solutions to accelerate business decisions. Proven expertise with using our enterprise anchor BI platforms Tableau, Power BI, or similar. Experience with Augmented Analytics capabilities including integration and roll out of Power BI Experience working with SQL, Python for Big Data Analytics. Experience in documenting BI standards, training end users, and communicating with analytics user communities. Experience working with Agile teams in productionizing capabilities at scale ensuring high availability and performance in enterprise cloud ecosystems. Demonstrated ability to collaborate and work with cross-functional teams in a dynamic environment. Analytical mindset with a strong ability to translate complex data into actionable business insights. Demonstrate change management and evangelize adoption of analytics capabilities in Cloud. Strong communication and presentation skills and executive presence. Desired Qualifications Master’s degree in computer science or related field. Experience working with big data sets in Azure Data Lake, Databricks, and Fabric. Experience with front end design technologies to build creative widgets. Experience in DevOps, monitoring analytics. Knowledge of banking/financial industry trends, products, and services. Additional Information Hours: Monday - Friday, 8:00AM - 4:30PM. Required Skills Microsoft Power BI Software Presentation Skills SQL Programming Language 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. Job Info Job Identification 30306 Job Category Data Engineering (AI/ML/NLP) Posting Date 06/05/2026, 04:21 PM Apply Before 07/06/2026, 03:59 AM Degree Level No Formal Education Job Schedule Full time Job Shift Regular Hours Targeted Salary Range $130,500 - $179,500 annually
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Vienna, Virginia, United States

Sprachkenntnisse

English

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