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# Data Governance Lead _ Data Governance, Data Quality, Lineage & Observability

- **Company:** Diverse Lynx LLC
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Database, Profiling, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Structures, Data Warehousing, Metadata, Cloud Services, DataOps, SQL Databases, Enterprise Data Management, Snowflake, Microsoft Fabric, Data Lineage, Collibra, Data Management, Data Pipelines, Databricks
- **Published:** October 17, 2026
- **Apply:** https://www.careerjet.com/job/us874a53fa9e93848096a4d712f5c3664a/eaa

## About the Role

· 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 inte-gration and analytics ecosystems.
· Experience with one or more enterprise platforms such as Collibra, Informatica CDEligible to work/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 plat-forms such as Azure, AWS, Databricks or Snowflake.
· Experience defining governance and quality KPIs/KRIs, control evidence, data issue workflows, auditability and executive re-porting.
· Good understanding of privacy, security, retention, regulatory and risk-management expectations relevant to financial ser-vices, including Client 239, GDPR/CCPA and data-control principles.
· Proven experience leading discovery workshops, current-state assessments, target-state design, roadmaps, tool evaluations, implementation planning and adEligible to workion/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., · Strong leadership and stakeholder-management skills across business, technology, risk, compliance and data organizations.
· Excellent written, verbal and presentation skills for technical, business and executive audiences.
· Consultative problem-solving approach with the ability to simplify complex governance and technology topics.
· Experience leading cross-functional and geographically distributed teams and driving outcomes without direct authority.
· Strong planning, prioritization, facilitation, negotiation, risk management and decision-making skills.

## Description

Job Description: 12+ years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability., · Lead the design and implementation of an integrated Data Governance, Data Quality, Data Lineage and Data Observability capability for enterprise data platforms.
· Translate business, regulatory, risk and technology needs into pragmatic governance policies, standards, controls, processes and implementation roadmaps.
· Define the operating model, including accountable data owners, business and technical stewards, governance councils, RACI, escalation paths and decision rights.
· Establish enterprise metadata, business glossary, data catalog, classification, critical data element and ownership practices.
· Design Data Quality lifecycle processes covering profiling, rule definition, thresholds, monitoring, scorecards, issue triage, root-cause analysis and remediation governance.
· Define and operationalize end-to-end lineage from source through transformatio ns to reports, analytics, regulatory outputs and AI use cases.
· Establish observability monitoring for data freshness, completeness, volume, schema, distribution, pipeline reliability, anoma-lies and data incidents; align alerts with support and remediation workflows.
· Develop control frameworks, KPIs/KRIs, dashboards and executive reporting to demonstrate data health, control effective-ness, risk reduction and adEligible to workion.
· Evaluate and configure governance tooling; define integration patterns with data platforms, ETL/ELT, BI, ticketing, CI/CD and cloud services.
· Partner with data architecture, engineering, platform, security, privacy, risk and business teams to embed governance controls within delivery lifecycle and DataOps practices.
· Lead workshops, architecture/design reviews, backlog prioritization, implementation governance, testing, release readiness and production adEligible to workion.
· Manage risks, dependencies and issues; provide clear recommendations and escalate decisions requiring senior stakeholder intervention.
· Mentor governance leads, data stewards, analysts and engineers; create reusable accelerators, templates, playbooks and knowledge assets.
· Support solutioning, proposals, effort estimation, client presentations and capability development for Data Governance and Data Management opportunities.