Senior Data Governance Implementation Lead – Quest Erwin Data Intelligence

The ideal candidate must have personally configured and deployed enterprise data
governance platforms, led technical implementations, and established operational
governance processes.
Key Responsibilities
 Lead end-to-end implementation, configuration, and production deployment of
Quest Erwin Data Intelligence.
 Establish an enterprise Data Governance operating model aligned with approved
governance directives.
 Configure business glossaries, data catalogs, metadata repositories, role-based
access controls, and approval workflows.
 Implement automated metadata harvesting and synchronization using native
connectors, APIs, or custom integrations.
 Integrate the governance platform with enterprise data warehouses, Oracle, SQL
Server, Tableau, and other enterprise systems.
 Establish end-to-end data lineage, source-to-target mappings, data
classifications, and ownership assignments.
 Define and operationalize responsibilities for Data Owners, Data Stewards, and
Data Custodians.
 Develop stewardship workflows, governance procedures, and operational
reporting dashboards.
 Lead stakeholder workshops, pilot implementations, user acceptance testing,
and production rollout.

 Develop training materials, administrator documentation, implementation
runbooks, and knowledge-transfer plans.
 Provide project status reporting, risk tracking, and executive updates.
Required Qualifications
 10+ years of enterprise data management, data architecture, or data engineering
experience.
 5+ years of relevant Data Governance, metadata management, or enterprise
catalog implementation experience.
 Hands-on implementation experience with Quest Erwin Data Intelligence,
including configuration, metadata cataloging, and production deployment.
 Strong experience with data lineage, business glossaries, technical metadata,
and data classification.
 Experience integrating governance platforms with SQL Server, Oracle, enterprise
data warehouses, and BI tools.
 Experience implementing metadata harvesting, connectors, APIs, and automated
synchronization.
 Working knowledge of governance operating models, data ownership,
stewardship, and approval processes.
 Ability to independently lead implementation activities and collaborate with
business and technical teams.
 Strong technical documentation and stakeholder communication skills.