Data Governance- Norwell,MA

Cystems Logic Inc•Norwell, MA

About The Position

We are seeking a seasoned Data Governance Expert to design implement and operationalize an enterprise-wide data governance framework. The role requires hands-on experience with governance tools such as Microsoft Purview or Collibra and building core governance components including metadata management classifications master data lineage and business glossary. The candidate will also bring strong expertise in data quality policy development data integration and Python-based automation to support scalable and compliant governance practices.

Requirements

12+ years of experience in Data Governance Data Management or Data Architecture
Strong hands-on experience with Microsoft Purview
Proven experience building governance components Metadata management Data classifications Master data governance Lineage and Business glossary
Strong understanding of data quality frameworks and tools
Experience in policy development and governance operating models
Hands-on experience with Python automation
Solid understanding of data integration concepts and architectures

Responsibilities

Define and implement enterprise data governance strategy standards and operating model
Should experience in using Data Governance tools such as Purview or Collibra
Establish governance processes covering metadata master data data quality lineage and stewardship
Work with business and IT stakeholders to align governance initiatives with organizational goals
Configure and manage Microsoft Purview for data discovery cataloging and governance
Implement and maintain Metadata management Data classifications End-to-end data lineage and Business glossary and data definitions
Integrate Purview with data platforms and source systems
Design and maintain Metadata models and standards Classification taxonomies Master data governance models Lineage frameworks and Business glossary workflows
Ensure consistency and usability of governance assets across the enterprise
Define and implement data quality frameworks and metrics
Establish rules for completeness accuracy consistency timeliness and validity
Partner with engineering teams to embed data quality checks into pipelines
Monitor data quality issues and drive remediation processes
Develop and enforce data governance policies standards and procedures
Support compliance with regulatory requirements
Collaborate with security and legal teams on data access retention and privacy policies
Work closely with data engineering analytics security and business teams
Ensure governance controls are integrated into data ingestion transformation and consumption layers
Support governance enablement across cloud and on-prem data platforms
Develop Python-based automation for metadata ingestion classification updates lineage extraction and reporting
Automate governance workflows validations and operational reporting
Build reusable scripts and utilities to enhance governance efficiency