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

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.

· 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.