Senior Data Scientist (Internal Audit Product Engineering)

Navy Federal Credit UnionVienna, VA
$99,400 - $155,850

About The Position

Navy Federal's Internal Audit team is undergoing a significant transformation to become a top-tier Audit function. Our vision is to be a trusted advisor to the business by consistently delivering high-quality, risk-focused audit and advisory work. We are focusing on implementing efficient processes, maximizing technology utilization, integrating data analytics into all aspects of our operations, and investing in our people. If this aligns with your career aspirations, we encourage you to explore this opportunity. The role involves providing data-driven insights and technology-enabled capabilities to support Internal Audit's strategic objectives and decision-making. This includes understanding the business needs of Internal Audit and identifying opportunities to enhance audit coverage, operational efficiency, and risk insights through analytics, automation, and AI. The Senior Data Scientist will design, develop, and maintain audit-focused data products, workflow automation, and AI-enabled capabilities to support assurance and advisory activities throughout the audit lifecycle. Responsibilities also include contributing to product strategy, solution delivery, testing, deployment, and continuous improvement initiatives, while upholding strong data governance, data quality, and responsible AI practices.

Requirements

  • Authorized to work in the United States without the need for current or future sponsorship.

Responsibilities

  • Provide data-driven insights and technology-enabled capabilities that support Internal Audit's strategic objectives and decision-making.
  • Understand Internal Audit’s business needs and identify opportunities to improve audit coverage, operational efficiency, and risk insights through analytics, automation, and AI.
  • Design, develop, and maintain audit-focused data products, workflow automation, and AI-enabled capabilities that support assurance and advisory activities across the audit lifecycle.
  • Contribute to product strategy, solution delivery, testing, deployment, and continuous improvement initiatives.
  • Promote strong data governance, data quality, and responsible AI practices.

Benefits

  • Highly competitive pay
  • Generous benefits and perks
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