
Manager I, Data Analytics – Lending Analytics Data Stewardship
Navy Federal Credit Union
full-time
Posted on:
Location Type: Hybrid
Location: Vienna • Virginia • United States
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Salary
💰 $111,600 - $163,100 per year
About the role
- Manages a team of Data Analysts performing data collection, profiling, and cleaning
- Develop work plans and manage the execution of daily, weekly, and monthly reporting and analytics activities
- Lead execution of data collection/extraction projects that support data governance and recommend leading practices in data collection decisions and practices
- Lead innovation and automation of data quality monitoring, including anomaly detection, trend-based alerting, and scalable exception management workflows
- Collaborate with business units and data scientists to define data quality rules and implement standard processes
- Ensure accuracy, integrity, and usability of cleaned data used across dashboards and ad-hoc reports
- Enhance Lending Analytics data assets and products through analytical data engineering, including feature creation, metric standardization, and curated datasets that accelerate downstream analytics
- Develop and own the Lending Analytics Data Ecosystem knowledge base (data catalog content, data dictionaries sources, lineage/context, definitions, and usage guidance) to improve discoverability and correct use of data products
- Evangelize data products and standards by partnering across Lending Analytics, enterprise technology and data teams, and business stakeholders; deliver enablement (office hours/training) and drive adoption of trusted datasets
- Track team performance, assign projects, and evaluate capacity against business needs
- Coach team on advanced validation and profiling techniques to reduce inconsistencies and redundancies
Requirements
- Bachelor’s degree in related field or equivalent combination of training, education and experience
- College/university degree and 5+ years work experience; 1+ years of management experience
- Proven ability to lead a team of data analysts, setting clear objectives and enabling team members to contribute effectively to analytics projects
- Ability to identify opportunities for improvement within data analytics processes and implementing best practices for efficiency
- Effective in communicating analytical results and recommendations to non-technical stakeholders, bridging the gap between data and business implications
- In-depth knowledge of data analytics tools and programming languages (e.g., SQL, Python, R) to guide analytical methods and practices
- Experience designing and operating data quality frameworks (rules/thresholds, monitoring, issue management, and Service Level Agreements/SLAs) and partnering with governance/risk stakeholders
- Hands-on ability with data observability/automation patterns (anomaly detection, automated controls, alerting, and scalable triage workflows)
- Strong analytical data engineering capability (SQL + Python; building curated datasets, reusable features, and metric layers)
- Experience creating and maintaining data documentation/knowledge assets (data dictionaries, definitions, lineage/context, and user enablement materials)
- Proven ability to influence without authority and drive adoption of standards and data products across cross-functional stakeholders
- Effective leadership in managing a team, driving performance to meet organizational goals
- Ability to identify challenges and develop practical solutions that optimize team performance
- Skill in managing daily operations with a focus on efficiency and productivity
- Strong interpersonal skills for coordinating with team members and other departments
- Commitment to empowering team members to take initiative and make decisions in their roles
- Proficiency in setting goals and evaluating team performance to achieve business objectives
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data collectiondata profilingdata cleaningdata quality monitoringanomaly detectionSQLPythonRdata engineeringdata documentation
Soft Skills
leadershipcommunicationteam managementanalytical thinkingproblem-solvinginterpersonal skillscoachinginfluencingcollaborationgoal setting
Certifications
Bachelor's degree