Job opportunity
Data Governance Manager
Tekshapers
Data Governance Lead
12-16 years overall, including 7+ years in Data Governance/Data Management and 3+ years in a lead or architecture role
Must Have Technical/Functional Skills
12+ years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability.
Proven experience defining and implementing enterprise Data Governance operating models, policies, standards, controls, stewardship structures, decision rights and governance forums.
Strong hands-on knowledge of business and technical metadata, data catalog, glossary, classification, ownership, critical data elements and end-to-end lineage.
Deep understanding of Data Quality frameworks, including profiling, rule design, controls, scorecards, issue management, root-cause analysis, remediation and continuous monitoring.
Experience establishing Data Observability capabilities spanning freshness, volume, schema, distribution, pipeline health, anomalies, incidents, service levels and operational dashboards.
Ability to integrate governance, quality, lineage and observability controls across cloud, lakehouse, data warehouse, data integration and analytics ecosystems.
Experience with one or more enterprise platforms such as Collibra, Informatica CDGC/Axon/EDC/IDQ, Microsoft Purview, Alation, Atlan, BigID, Monte Carlo, Bigeye, Databricks Unity Catalog or comparable tools.
Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data platforms such as Azure, AWS, Databricks or Snowflake.
Experience defining governance and quality KPIs/KRIs, control evidence, data issue workflows, auditability and executive reporting.
Good understanding of privacy, security, retention, regulatory and risk-management expectations relevant to financial services, including BCBS 239, GDPR/CCPA and data-control principles.
Proven experience leading discovery workshops, current-state assessments, target-state design, roadmaps, tool evaluations, implementation planning and adoption/change initiatives.
Strong consulting, stakeholder-management and communication skills, with the ability to engage business, risk, compliance, data, engineering and executive stakeholders.
Preferred certifications in DAMA/CDMP, DCAM, Collibra, Informatica, Microsoft Purview, cloud data platforms, data quality or related disciplines.
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Apply on source site 12-16 years overall, including 7+ years in Data Governance/Data Management and 3+ years in a lead or architecture role
Must Have Technical/Functional Skills
12+ years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability.
Proven experience defining and implementing enterprise Data Governance operating models, policies, standards, controls, stewardship structures, decision rights and governance forums.
Strong hands-on knowledge of business and technical metadata, data catalog, glossary, classification, ownership, critical data elements and end-to-end lineage.
Deep understanding of Data Quality frameworks, including profiling, rule design, controls, scorecards, issue management, root-cause analysis, remediation and continuous monitoring.
Experience establishing Data Observability capabilities spanning freshness, volume, schema, distribution, pipeline health, anomalies, incidents, service levels and operational dashboards.
Ability to integrate governance, quality, lineage and observability controls across cloud, lakehouse, data warehouse, data integration and analytics ecosystems.
Experience with one or more enterprise platforms such as Collibra, Informatica CDGC/Axon/EDC/IDQ, Microsoft Purview, Alation, Atlan, BigID, Monte Carlo, Bigeye, Databricks Unity Catalog or comparable tools.
Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data platforms such as Azure, AWS, Databricks or Snowflake.
Experience defining governance and quality KPIs/KRIs, control evidence, data issue workflows, auditability and executive reporting.
Good understanding of privacy, security, retention, regulatory and risk-management expectations relevant to financial services, including BCBS 239, GDPR/CCPA and data-control principles.
Proven experience leading discovery workshops, current-state assessments, target-state design, roadmaps, tool evaluations, implementation planning and adoption/change initiatives.
Strong consulting, stakeholder-management and communication skills, with the ability to engage business, risk, compliance, data, engineering and executive stakeholders.
Preferred certifications in DAMA/CDMP, DCAM, Collibra, Informatica, Microsoft Purview, cloud data platforms, data quality or related disciplines.
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