Data Governance Analyst
Job in
Dallas, Dallas County, Texas, 75215, USA
Listing for:
Osi Digital Inc
Full Time
position
Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Data Security, Data Warehousing, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly
USD
100000.00
125000.00
YEAR
Job Description & How to Apply Below
Data Governance Analyst (Azure / Purview / MDM) – OSI Digital
Location:
Dallas, TX Hybrid
About OSI Digital
OSI Digital is a global digital transformation and data solutions partner helping enterprises build governed, scalable, and high‑performing data platforms. We work across industries to deliver data governance, cloud modernization, analytics enablement, and data‑led innovation with a focus on measurable business outcomes.
Role Summary
OSI Digital is seeking a Data Governance Analyst to support and lead data governance initiatives for enterprise clients. In this role, you will help establish and operationalize governance frameworks that improve data quality, trust, compliance, metadata management, and lineage. You will partner closely with data engineering, analytics, and business stakeholders to ensure governance is embedded into day‑to‑day data delivery. This is a high‑impact opportunity for someone who enjoys building governance programs from strategy through execution and enabling business teams through governance best practices.
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 Dev Ops to manage initiatives and deliver governance improvements iteratively.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 frameworks.Prior consulting / client‑facing experience with multiple stakeholder groups.Strong documentation skills: governance playbooks, SOPs, RACI, glossary standards, lineage artifacts.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.#J-18808-Ljbffr
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