Manager II, Data Science – Audit Product Engineering

Navy Federal Credit Union

Manage a team of data analytics, data management, and AI specialists for Internal Audit. Develop data products and methodologies leveraging best practices for audit efficiency and insights.

Posted 6/4/2026full-timeVienna • Virginia • 🇺🇸 United StatesSeniorLead💰 $131,700 - $206,450 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Hard Skills & Tools

data analysisdata visualizationmodel developmentmodel validationmodel deploymentautomationstatistical techniquesdata governanceproject managementbudget management

Soft Skills

leadershipcommunicationstorytellingcollaborationdecision-makingcoachingflexibilitystrategic planningteam empowermentresource planning