Principal Enterprise Data Risk Analyst

Overview

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.

Serve as a subject matter expert in Enterprise Data Risk Governance, leading complex risk assessments, data governance evaluations, and compliance initiatives. Provide recommendations to enhance data risk management frameworks, collaborate with senior leadership on risk mitigation strategies, and drive continuous improvement efforts in data governance policies and oversight. Act as a key advisor on enterprise-wide data risk issues.

Responsibilities

• Lead the establishment and execution of the Enterprise Data Governance Oversight program, aligning enterprise data risk practices within the Enterprise Risk Management framework.
• Oversee the implementation of risk and control self-assessments (RCSA), ensuring robust identification, analysis, and monitoring of data governance risks.
• Conduct in-depth analysis of operational risk assessments, providing independent challenge and oversight of data governance controls.
• Drive the development and tracking of key risk indicators (KRIs), monitoring control deficiencies, and recommending mitigation strategies.
• Partner with the business units and providing risk advisory guidance on data governance risk management and compliance.
• Develop policies, standards, procedures, and risk governance frameworks to enhance data management and oversight capabilities.
• Collaborate with cross-functional teams, including the Enterprise Data Governance Office, to align risk management practices with industry standards.
• Provide thought leadership on data risk methodologies, metadata management, and data quality management best practices.
• Provide oversight and risk advisory guidance on AI governance practices for unstructured data, including appropriate use, lifecycle management, quality, and control considerations.
• Lead the development of dashboards, reports, and scorecards to support executive decision-making on enterprise data risk.
• Support regulatory and audit engagements by providing expertise on enterprise data governance risk practices and controls.

Qualifications

• Bachelor's Degree in technology, data management, business administration, economics, statistics, mathematics, or equivalent combination of education and experience
• Minimum of 7-10 years of experience with risk and controls self-assessments (RCSA), including assessing data management risks, governance and controls at a large financial institution.
• Subject matter expert within business area/specialization with understanding of interrelationships of different disciplines
• Significant experience managing enterprise data risk governance, regulatory compliance, and data management risk controls in financial institutions.
• Deep expertise in risk and controls self-assessments (RCSA), with the ability to develop business scenarios that evaluate data governance practices.
• Significant ability to challenge assumptions, provide independent risk perspectives, and drive effective risk mitigation strategies.
• Significant experience assessing and optimizing enterprise data governance frameworks, including data protection, retention, access controls, and quality assurance.
• Significant experience managing enterprise-wide data risk initiatives, including control effectiveness evaluations and regulatory reporting.
• Advance project management skills, with the ability to lead cross-functional risk initiatives.
• Significant research and analytical skills, with the ability to develop risk insights and recommendations.
• Advanced verbal and written communication skills, with experience influencing senior leaders and regulatory stakeholders.
• Advance skills in SQL, Python, SAS, or other data governance tools for risk monitoring and analysis.

Desired Qualifications

• Master's Degree in technology, data management, business administration, economics, statistics, mathematics, or equivalent combination of education and experience
• Familiarity with cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
• Experience using a well-known GRC system
• Extensive experience in SAS, SQL, SPSS, Tableau or other data analysis or visualization tools

Additional Information

Hours:

• Monday - Friday, 8:00AM - 4:30PM

Location:

• 820 Follin Lane, Vienna, VA 22180

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