Enterprise Data Governance Analyst

Navy Federal Credit UnionVienna, VA
$78,400 - $123,200

About The Position

Support Enterprise Data Integrity Services (EDIS) in the development of information lifecycle management requirements, guidelines, and best practices for effectively managing enterprise data across the end-to-end data lifecycle. Provide guidance to stakeholders on the collection, discovery, management, access, use, security, retention, and retirement of data assets. Understand business needs and identify opportunities to mature information lifecycle management capabilities. Support Enterprise Data Integrity Services (EDIS) in the development of data quality requirements, standards, frameworks, capabilities, and best practices. Provide guidance to stakeholders on developing and implementing data quality strategies and capabilities that improve data accuracy, reliability, and integrity while ensuring fit for intended use. This role also requires program management skills as a core competency, with an emphasis on ensuring the successful implementation and adoption of an enterprise-scoped data quality tool in close collaboration with data stewards across the organization.

Requirements

  • Must be authorized to work in the United States without the need for current or future sponsorship.
  • Program management skills as a core competency.

Responsibilities

  • Support Enterprise Data Integrity Services (EDIS) in the development of information lifecycle management requirements, guidelines, and best practices for effectively managing enterprise data across the end-to-end data lifecycle.
  • Provide guidance to stakeholders on the collection, discovery, management, access, use, security, retention, and retirement of data assets.
  • Understand business needs and identify opportunities to mature information lifecycle management capabilities.
  • Support Enterprise Data Integrity Services (EDIS) in the development of data quality requirements, standards, frameworks, capabilities, and best practices.
  • Provide guidance to stakeholders on developing and implementing data quality strategies and capabilities that improve data accuracy, reliability, and integrity while ensuring fit for intended use.
  • Ensure the successful implementation and adoption of an enterprise-scoped data quality tool in close collaboration with data stewards across the organization.

Benefits

  • Highly competitive pay
  • Generous benefits and perks
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