Data Risk Manager

Title: Data Risk Manager
Location: Richmond, VA – West Creek Campus
Contract Duration: 6+ Months
Pay Rate: $60-66/hr on W2 without benefits

Position Overview:
Our client is seeking an experienced Data Risk Manager to support large-scale business and technology integration initiatives within the U.S. Card business.
This role will focus on identifying, assessing, and mitigating data risks across data migrations, legacy-system decommissioning, analytical data flows, third-party integrations, data models, and downstream data consumption.
The ideal candidate will have a strong background in data management, data governance, data risk, technology risk, and risk controls, along with strong analytical, problem-solving, and communication skills.
This is a highly collaborative role that will partner with business, technology, data, and risk stakeholders to understand evolving data environments, identify new or changing risks, assess controls, and communicate risk findings and mitigation strategies to senior leadership.
 
Key Responsibilities:
Assess data risks across end-to-end data lifecycles, including data ingestion, migration, transformation, storage, consumption, and decommissioning.
Evaluate risks associated with legacy data migrations and conversions, including potential data loss, data integrity, consistency, and completeness issues.
Assess data risks related to new analytical and data consumption pipelines.
Review new data models and identify potential data management and governance risks.
Assess risks associated with third-party data integrations and vendors, including appropriate data sharing and protection.
Evaluate data access controls and ensure sensitive data is appropriately protected as it moves between environments.
Assess data quality and identify risks related to data completeness, accuracy, consistency, and usability.
Provide independent validation of data mapping activities and ensure appropriate governance practices are followed.
Perform or support data profiling activities where appropriate.
Evaluate the adequacy and effectiveness of existing data management controls.
Identify new or changing data risks as integration and migration strategies evolve.
Develop and document data risk assessments, findings, and recommendations.
Communicate risk findings, mitigation plans, and overall risk posture to senior leadership.
Create dashboards, reports, and other materials to provide leadership visibility into data risks and mitigation activities.
Partner with data analytics and technical teams when detailed data analysis or technical validation is required.
Work closely with business, technology, data, governance, and risk stakeholders in a rapidly changing environment.
 
Key Areas of Data Risk:
The role will assess data risk across the full lifecycle of large-scale migration and integration efforts, including:
Data loss
Data quality
Data integrity and consistency
Data access and authorization
Data security and protection
Data mapping
Data migration and conversion
Third-party/vendor data risk
Data sharing and oversharing
Data governance
Data lifecycle management
Downstream data consumption
Analytical data pipelines
Data model risks
Legacy-system decommissioning
 
Must Have Qualifications:
Strong experience in data management, data governance, or data risk management.
Strong understanding of data lifecycles and where risk can be introduced throughout the lifecycle.
Experience assessing data-related controls and identifying control gaps.
Strong understanding of data governance principles and risk frameworks.
Experience with data migrations, conversions, integrations, or legacy-system decommissioning is highly preferred.
Strong analytical and problem-solving skills with the ability to assess complex data-risk scenarios.
Ability to translate technical and data concepts into clear risk assessments and executive-level summaries.
Excellent written and verbal communication skills.
Ability to work effectively in a rapidly changing environment with evolving requirements and priorities.
Experience working with cross-functional business, technology, data, governance, and risk teams.
DAMA/Data Management certification is preferred but not required.
 
Preferred Qualifications:
Experience in banking or financial services.
Previous experience in data risk management or technology risk.
Experience with enterprise data governance programs.
Knowledge of established risk frameworks, controls, and control assessment methodologies.
Experience with third-party/vendor risk assessments.
Experience supporting large-scale data migrations or integration programs.
Experience within a large enterprise environment.
 
Ideal Candidate Background:
Candidates may come from backgrounds such as:
Data Risk Manager
Data Risk Analyst
Data Risk Consultant
Data Governance Manager
Data Governance Consultant
Data Management Consultant
Technology Risk Manager
Technology Risk Consultant
Data Quality/Risk Consultant
Enterprise Data Management
Information Governance
Data Controls/Risk Management
Candidates from banking, financial services, consulting, or large enterprise environments are encouraged to apply.
 
Technical Expectations:
This is not a hands-on data engineering or data science position.
The candidate does not need to be an expert in SQL or Python and will not be primarily responsible for writing SQL/Python code or performing actual data mapping.
The candidate should instead have a working understanding of:
Data mapping and source-to-target concepts
Data migration and conversion processes
Data lifecycle management
Data governance best practices
Data quality and profiling concepts
Data access controls
Data management controls
Data risk assessment methodologies
A dedicated data analytics/technical team will provide support for detailed technical analysis when required.

Company Benefits & Culture
Competitive salary and benefits package
Opportunities for professional development and growth
Inclusive and collaborative work environment

For immediate consideration please click APPLY to begin the screening process with Alex.