Data Governance Lead

REV LLC•Seattle, WA

10d•$90 - $120•Hybrid

About The Position

REV is seeking an experienced Data Governance Lead to establish and operationalize enterprise data governance practices for a large-scale technology modernization initiative. The consultant will establish governance frameworks, stewardship models, data quality standards, metadata practices, decision-making structures, and compliance processes while ensuring data is treated as a trusted enterprise asset.

Requirements

Bachelor's degree is required.
Bachelor's degree must include at least 12 semester hours or 18 quarter hours of computer science coursework.
Candidate must be able to provide documentation verifying the degree and specific computer science coursework completed if requested.
7+ years of professional IT experience involving IT analysis, data analysis, data management, system maintenance, troubleshooting, or enterprise data environments.
5+ years of hands-on Data Governance, Data Management, Data Architecture, or comparable data leadership experience.
Demonstrated experience establishing or operationalizing enterprise data governance frameworks.
Experience with data stewardship, ownership, custodianship, accountability, and governance decision-making.
Strong experience with metadata management, data lineage, data quality, and data standards.
Experience with Master Data Management and reference data concepts.
Experience with data integration, migration, profiling, mapping, cleansing, transformation, validation, and reconciliation.
Experience with SQL, NoSQL, and cloud data technologies.
Understanding of APIs, ETL/ELT, messaging, event-driven pipelines, and service-oriented architectures.
Experience with Azure, AWS, and/or GCP.
Understanding of privacy regulations, security controls, data classification, access controls, encryption, and Zero Trust principles.
Strong understanding of the full data lifecycle, including ingestion, storage, transformation, consumption, archival, retention, and destruction.
Excellent communication and stakeholder-management skills.
Demonstrated ability to communicate complex data governance concepts to executive, business, and technical audiences.
Must be comfortable working as an individual 1099 Independent Contractor.
Must be willing and able to work onsite in Washington State as required.
Must be able to complete required background screening, security training, confidentiality requirements, and system-access requirements.

Nice To Haves

Certified Data Management Professional (CDMP)
Microsoft Certified: Azure Data Engineer Associate
Snowflake certification
Google Cloud Professional Data Engineer
Other current data governance or data management certifications may be considered.
Enterprise-wide data governance implementations.
Public-sector or regulated environments.
Enterprise Master Data Management programs.
Metadata and data quality tooling.
Large-scale modernization programs.
Establishing data stewardship organizations.
Developing enterprise data policies and standards.
Working with sensitive or regulated data.

Responsibilities

Define and operationalize an enterprise Data Governance Framework.
Establish data stewardship models, governance committees, decision rights, and escalation processes.
Define standards for data naming, metadata, classification, quality, ownership, and appropriate data use.
Establish clear accountability for major enterprise data domains.
Ensure governance practices align with applicable regulatory, privacy, security, and enterprise requirements.
Collaborate with cybersecurity teams to embed privacy, access controls, and risk mitigation into governance practices.
Define data quality rules, scorecards, measurements, and improvement workflows.
Establish metadata management and data lineage practices.
Support development and maintenance of enterprise metadata repositories.
Facilitate communication among technical teams, business stakeholders, vendors, and leadership.
Support audit preparation, reporting, compliance activities, and oversight communications.
Establish governance documentation and lifecycle-management standards.
Lead data governance training, education, and mentorship.
Support Master Data Management, survivorship rules, harmonization logic, and authoritative sources of truth.
Identify data governance gaps, risks, ownership issues, and quality concerns.
Participate in architecture and data design reviews.
Provide recommendations to leadership regarding data policies, standards, governance maturity, and risk.
Support development of data-related KPIs and performance measures.