Data Governance Lead

Overview

Define and own multi-year product vision and roadmap for enterprise data governance platforms covering metadata, lineage, reference data, and data quality.

Treat governance as a data product, defining KPIs, adoption metrics, and value realization.

• Design and operationalize enterprise metadata standards, business glossary structures, ownership models, and stewardship workflows.
• Ensure traceability between business terms, technical assets, reports, and downstream consumers using governance tooling.
• Govern lifecycle management of enterprise definitions, classifications, and certifications.

• Architect and oversee automated lineage across data warehouses, ETL pipelines, virtualization layers, and BI tools.
• Enable end-to-end traceability from source systems to regulatory reports.
• Support change-impact analysis, risk assessments, and audit evidence generation.

• Establish enterprise data quality frameworks, including profiling, rule definition, thresholds, monitoring, and exception management.
• Define defect management workflows, root‑cause analysis, and remediation SLAs with data owners.
• Produce regulatory‑grade DQ dashboards and quality metrics.

• Govern enterprise reference data standards and design API‑driven distribution models for consistent downstream consumption.
• Ensure single‑source‑of‑truth principles and eliminate duplication across systems.

• Lead agile delivery for large enterprise backlogs; write epics, user stories, and acceptance criteria.
• Coordinate work across platform engineers, data architects, governance leads, and offshore delivery teams.
• Manage release planning, dependency resolution, and stakeholder demos.
• Prepare governance artifacts, lineage views, and control documentation for audits and regulatory exams.
• Communicate governance posture and risk reduction outcomes to executive leadership.

• Governance & Metadata:
  Alation, Informatica Axon
• Data Quality:
  Informatica IDQ, enterprise DQ frameworks