Data Risk Manager

Job Description

Description

Hybrid Onsite 3 days a week in Richmond, VA\n
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\nOur client seeks a Data Risk Manager to support large scale business and technology integration within the US Card domain. The role will assess data risks across data flows and downstream consumption during end-to-end data migration, including decommissioning legacy data, onboarding a new third-party loan servicing vendor, and analyzing new data models. The manager will partner with business, technology, data, and risk stakeholders to identify new or changing data risks, develop risk assessments, and evaluate data access controls and data quality. The work will emphasize data management risk, data governance, and technology risk.\n
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We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $60.00 to $65.00/hr. w2\n
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Responsibilities

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• Assess data risks across end-to-end data migration, including legacy decommissioning and existing data migration.

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• Partner with business, technology, data, and risk stakeholders to identify new or changing data risks.

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• Support development of risk assessment approaches and frameworks for integrations and vendor onboarding.

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• Evaluate implications of establishing new data models and downstream consumption patterns.

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• Assess data access controls for appropriateness and effectiveness.

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• Evaluate data quality for inbound and outbound data sets.

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• Translate data concepts into actionable risk assessments and concise summaries.

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• Contribute analytical judgment to prioritize risk remediation and controls.
  
  

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Experience Requirements

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• Proven experience in data management risk with understanding of data lifecycles and risk introduction points.

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• Background in data governance and technology risk.

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• Experience with data migrations or conversions preferred.

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• Strong analytical judgment with ability to structure and communicate risk assessments.

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• Strong written and verbal communication skills.

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• General knowledge of data mapping approaches and integration methods. No specific tooling required.

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• DAMA certification is a plus.
  
  

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Education Requirements