Data Governance Specialist: Elevate Data Quality & Trust

Techstra Solutions

Pittsburgh (Allegheny County)

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

Techstra Solutions in Pittsburgh, PA is seeking a Data Governance Analyst to strengthen data quality, trust, and accessibility across the enterprise. This role is ideal for someone with a strong academic foundation and 4–6 years of hands-on experience in data governance or data management, plus a passion for improving data definitions, lineage, and metadata.

You will partner with business stakeholders, data owners, data stewards, and technical teams to support governance initiatives, maintain

Qualifications

Master's degree in Information Systems, Data Analytics, Computer Science, Business Analytics, Data Science, or related field.
4–6 years of experience in Data Governance, Data Management, BI, Data Quality, or related disciplines.
Understanding of data governance frameworks, metadata management, and data stewardship principles.
Experience documenting business definitions, data lineage, and data ownership.
Knowledge of data quality concepts and experience analyzing data quality issues.
Strong SQL skills for data validation and analysis.
Excellent analytical, organizational, and communication skills.
Experience working within Agile delivery teams.
Ability to communicate effectively with both business and technical stakeholders.

Responsibilities

Support enterprise data governance initiatives by partnering with business and technology stakeholders.
Assist in maintaining the enterprise business glossary, data catalog, and metadata repositories.
Collaborate with data owners and data stewards to define and document critical data elements, business definitions, and data lineage.
Monitor and analyze data quality metrics, identify issues, and coordinate remediation efforts.
Participate in data governance councils and working groups, documenting decisions and tracking action items.
Help establish and enforce data governance policies, standards, and procedures.
Perform data profiling and validation to identify inconsistencies, duplicates, and quality concerns.
Support master data management (MDM) and reference data initiatives.
Create reports, dashboards, and presentations to communicate governance metrics and progress to leadership.
Promote data literacy and governance best practices throughout the organization.