MDM)

CommServe Technologies Inc•Dallas, TX

18h•Hybrid

About The Position

Hybrid Data Governance & Metadata Management (Microsoft Purview, Collibra), Data Quality Engineering (SQL, Python), Cloud Data Platform Governance (Azure Data Factory, ADLS, Databricks, Synapse) Required Qualifications 5+ years’ experience in Data Governance / Data Management / Data Quality / Data Analytics or related roles. Strong knowledge of governance concepts: data stewardship, metadata, lineage, quality, MDM, classification, access controls. Hands-on experience with one or more governance tools: Microsoft Purview, Collibra, Alation, Informatica. Working knowledge of cloud data ecosystems (Azure preferred) including Azure Data Factory, ADLS, Databricks, Synapse (or equivalent). Strong skills in SQL and exposure to Python/R for data profiling and analysis. Excellent stakeholder management skills with the ability to drive alignment across business and technical teams. Ability to translate business needs into actionable governance requirements, workflows, and controls. Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field. Preferred Skills Experience implementing governance operating models (roles, councils, approval flows, issue management). Experience with data quality tooling, rule automation, and quality measurement framework Prior consulting / client-facing experience with multiple stakeholder groups. Strong documentation skills: governance playbooks, SOPs, RACI, glossary standards, lineage artifacts. Key Responsibilities Define, implement, and maintain data governance policies, standards, frameworks, and operating workflows across domains.Lead metadata management, data cataloging, and data lineage initiatives using tools such as Microsoft Purview, Collibra, Alation, or Informatica. Partner with business, data engineering, analytics, and platform teams to manage and prioritize governance use cases and deliver outcomes. Drive data quality programs including profiling, rule definition, monitoring dashboards, issue management, and remediation coordination.Establish and enforce data ownership and stewardship models, including business glossary development and stewardship engagement.Support or facilitate Data Governance Councils / Working Groups, including agenda planning, decision tracking, and governance adoption. Support privacy and compliance initiatives (e.g., GDPR, CCPA/CPRA) including classification, access control practices, and traceability processes. Assist in the design and implementation of Master Data Management (MDM) practices ensuring data consistency and integrity across systems. Develop governance KPIs and reporting to measure governance effectiveness and maturity. Create and deliver enablement sessions to improve data literacy and governance adoption across technical and business teams. Work in Agile delivery teams using Jira / Azure DevOps to manage initiatives and deliver governance improvements iteratively. Work Style & Expectations Collaborative and proactive approach to identifying and resolving data-related issues Comfortable engaging with leadership, product stakeholders, and technical teams Strong communication and presentation skills Delivery mindset: governance that is operational and measurable, not just policy-based Collaborative and proactive approach to identifying and resolving data-related issues Comfortable engaging with leadership, product stakeholders, and technical teams Strong communication and presentation skills Delivery mindset: governance that is operational and measurable, not just policy-based

Requirements

5+ years’ experience in Data Governance / Data Management / Data Quality / Data Analytics or related roles.
Strong knowledge of governance concepts: data stewardship, metadata, lineage, quality, MDM, classification, access controls.
Hands-on experience with one or more governance tools: Microsoft Purview, Collibra, Alation, Informatica.
Working knowledge of cloud data ecosystems (Azure preferred) including Azure Data Factory, ADLS, Databricks, Synapse (or equivalent).
Strong skills in SQL and exposure to Python/R for data profiling and analysis.
Excellent stakeholder management skills with the ability to drive alignment across business and technical teams.
Ability to translate business needs into actionable governance requirements, workflows, and controls.
Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field.

Nice To Haves

Experience implementing governance operating models (roles, councils, approval flows, issue management).
Experience with data quality tooling, rule automation, and quality measurement framework
Prior consulting / client-facing experience with multiple stakeholder groups.
Strong documentation skills: governance playbooks, SOPs, RACI, glossary standards, lineage artifacts.

Responsibilities

Define, implement, and maintain data governance policies, standards, frameworks, and operating workflows across domains.
Lead metadata management, data cataloging, and data lineage initiatives using tools such as Microsoft Purview, Collibra, Alation, or Informatica.
Partner with business, data engineering, analytics, and platform teams to manage and prioritize governance use cases and deliver outcomes.
Drive data quality programs including profiling, rule definition, monitoring dashboards, issue management, and remediation coordination.
Establish and enforce data ownership and stewardship models, including business glossary development and stewardship engagement.
Support or facilitate Data Governance Councils / Working Groups, including agenda planning, decision tracking, and governance adoption.
Support privacy and compliance initiatives (e.g., GDPR, CCPA/CPRA) including classification, access control practices, and traceability processes.
Assist in the design and implementation of Master Data Management (MDM) practices ensuring data consistency and integrity across systems.
Develop governance KPIs and reporting to measure governance effectiveness and maturity.
Create and deliver enablement sessions to improve data literacy and governance adoption across technical and business teams.
Work in Agile delivery teams using Jira / Azure DevOps to manage initiatives and deliver governance improvements iteratively.