Data Governance Lead

DPRWashington DC, DC
49d$100,000 - $204,000

About The Position

DPR Construction is seeking an experienced Enterprise Data Governance Lead to develop, implement, and manage a formalized data governance program across the organization. This role will collaborate with cross-functional teams including Data & Development, IT, Security, Privacy, and business-side governance committees to ensure data is treated as a strategic asset.

Requirements

  • 5+ years in data governance or related roles.
  • Bachelor’s degree in IT, data management, or related field.
  • Strong understanding of data governance principles and tools.
  • Experience with data cataloging, lineage, and quality platforms.
  • Familiarity with data privacy laws (GDPR, CCPA).
  • Proficiency in Microsoft 365 tools (Excel, Power BI, SharePoint, Teams).
  • Strong leadership, analytical, and documentation skills.

Nice To Haves

  • Experience in Construction or related AEC fields preferred

Responsibilities

  • Own and lead the enterprise-wide Data Governance Program.
  • Align governance initiatives with business goals and enterprise architecture.
  • Facilitate the Enterprise Data Governance Council and Steering Committees.
  • Define and evolve governance strategy, roles, and workflows.
  • Drive adoption and embed governance practices into business culture.
  • Champion data stewardship and promote a data-driven culture.
  • Develop and maintain governance documentation, policies, and standards.
  • Implement data classification, access control, and issue resolution processes.
  • Track KPIs such as data quality, policy adherence, and resolution times.
  • Manage data governance tools and platforms, including metadata and lineage.
  • Ensure compliance with data privacy regulations (e.g., HIPAA, SOX).
  • Partner with InfoSec, Legal, and Data Engineering teams to manage access, security, and incident response.
  • Support audit, monitoring, and escalation strategies.
  • Align governance with system design, integration, and AI/data science initiatives.
  • Lead training and awareness campaigns on data governance principles.
  • Create stakeholder reports and materials to support governance efforts.
  • Partner with Learning & Development to promote data literacy.
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