Sr. Data Governance Analyst

This Sr Data Governance Analyst partners closely with the Enterprise Data Lead to plan and prioritize key data governance initiatives, ensuring all efforts are aligned, sequenced, and integrated into the broader enterprise data and analytics strategy. It is also responsible for driving company-wide adoption of data governance by leading communication, training, change management, and enablement activities that build awareness, engagement, and long-term cultural commitment to governance practices.

Responsibilities

• Define and drive the enterprise data governance strategy aligned to business and regulatory requirements; collaborate with Enterprise Data Lead to align governance initiatives with the enterprise data and analytics roadmap.


• Establish and mature the data governance operating model, including data ownership, stewardship, domain governance, and federated data model practices across business units and master data domains; partner with data owners and stewards to define critical data elements, quality rules, approval workflows, and domain-level governance artifacts; identify, onboard, and enable business data owners and stewards while driving accountability for stewardship, approvals, and remediation; support business stewards with remediation tasks, approvals, and ongoing operational needs.


• Lead governance councils, decision-making processes, issue escalation paths, and cross-functional workshops to align on key entities, domain hierarchies, downstream dependencies, and master data definitions; facilitate workshops to define glossary terms, critical data elements, and data quality rules.


• Develop, maintain, and enforce data governance policies, standards, and best practices; champion data quality, metadata management, lineage transparency, and consistent master/reference data definitions across priority domains; ensure metadata quality, naming conventions, steward assignments, and compliance across systems.


• Drive cultural adoption of governance through communication, training, documentation, and change management activities; connect business enablement teams with technical platform teams to ensure governance objectives align with technical execution.


• Establish governance standards for data products and medallion architecture (Bronze/Silver/Gold), including certification criteria, quality thresholds, SLAs, change control, and approval workflows; embed governance into master data, data products, pipelines, and lifecycle processes.


• Serve as the primary administrator for Microsoft Purview (catalog, lineage, scans, RBAC, glossary, classifications, sensitivity labels) and Profisee MDM (domains, hierarchies, attributes, reference datasets); configure, support, troubleshoot, and enhance data governance tools within a build-run-enhance model while maintaining platform stability and user adoption.


• Translate governance strategy into technical execution across Azure, Databricks, Microsoft Purview, and Profisee MDM; manage Purview scans, onboard new Azure/Databricks data sources, and maintain healthy catalog operations; validate and maintain end-to-end data lineage across Azure Data Factory, Databricks, and Synapse/Fabric pipelines; configure and enforce RBAC, access policies, and domain-based collection structures; align Purview metadata, glossary, lineage, and catalog content with platform assets, pipelines, and domain models.


• Define and optimize match/merge rules and survivorship logic in Profisee MDM to maintain accurate golden records; manage MDM load jobs, stewardship workflows, exceptions, and data publishing into Azure/Databricks; troubleshoot data quality issues, workflow failures, and integration gaps across the MDM ecosystem; integrate golden records into analytics, reporting, and downstream systems.

Licenses/ Certifications

• Certified Data Management Professional certification, preferred


• Databricks Certified Data Engineer Professional, preferred

Qualifications/Requirements

• Bachelor's degree in IT, Information Systems, MIS or other STEM degree


• Minimum 10 years' experience in data governance, data management, or data platform roles


• Hands-on Microsoft Purview administration experience (catalog, lineage, scans, RBAC, glossary)


• Hands-on Profisee MDM administration and domain management experience


• Strong technical understanding of Azure data platform architecture and Databricks lakehouse environment


• Experience integrating MDM outputs and Purview metadata with Azure data ecosystems.


• Experience with medallion (Bronze/Silver/Gold) architecture and defining governance standards for layered data pipelines


• Knowledge of metadata management frameworks, data quality practices, and master data domain management (survivorship rules, golden records)


• Experience creating or driving a data governance roadmap and aligning initiatives with enterprise data strategy


• Knowledge of regulatory and compliance requirements relevant to upstream oil and gas operations


• Proven ability to collaborate with business teams for data ownership, stewardship, and accountability


• Strong stakeholder management, communication, and facilitation skills

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.