Manager I, Enterprise Data Risk

Overview

Leads a team of Enterprise Data Risk Governance professionals, ensuring the effective execution of Data Sharing risk oversight and compliance. Develop and implement Data Sharing risk mitigation strategies while collaborating with internal stakeholders to align data risk management practices with organizational objectives. Manage execution of Data Risk program on behalf of senior leaders, delivering measurable outcomes. Provide thought leadership on data risk governance and ensure adherence to regulatory requirements, policies, and industry best practices.

Responsibilities

• Design and implement risk frameworks that align with enterprise data governance objectives.
• Assist leadership in developing strategy and capabilities for holistic management of data sharing risks across the enterprise
• Develop and maintain integrated program plans and track measurable outcomes towards program goals
• Lead risk assessments and establish controls to mitigate data sharing risks.
• Coordinate with compliance, legal, and IT teams to ensure regulatory requirements are met.
• Develop risk reporting structures to provide insight into data governance effectiveness.
• Drive continuous improvement in data risk management practices.
• Lead the integration of data risk governance across business lines and enterprise functions.
• Implement key performance indicators (KPIs) to measure governance effectiveness.
• Ensure the alignment of data risk governance practices with corporate risk appetite.
• Oversee data access controls and risk monitoring tools to detect potential issues.
• Facilitate risk discussions with leadership and provide recommendations on data risk mitigation.

Qualifications

• Bachelor's Degree in technology, data management, business administration, economics, statistics, mathematics, or equivalent combination of education and experience
• College/university degree and 5-7 years work experience with risk and controls self-assessments (RCSA), including assessing data management risks, governance and controls at a large financial institution; 1 - 3 years of supervisory experience
• Broad knowledge of enterprise data risk management, risk governance frameworks, and regulatory requirements.
• Broad knowledge of banking and financial industry trends, data lifecycle management, and risk mitigation strategies.
• Experience leading risk governance initiatives, data quality assessments, and compliance monitoring.
• Demonstrated ability to develop risk appetite statements, KRI/KPIs, and enterprise-level risk reporting.
• Experience managing multiple priorities independently and collaboratively in a dynamic environment.
• Strong interpersonal and communication skills, including the ability to influence stakeholders and drive strategic initiatives.
• Experience analyzing enterprise data risks, identifying control gaps, and implementing remediation plans.
• Experience supervising and mentoring employees across multi-disciplinary teams.
• Proficiency in data analytics, risk modeling, and regulatory reporting tools.
• Skills in programming languages such as SQL, Python, R, or SAS.

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
• 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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