Define and maintain the governance framework (domains, councils/forums, decision rights, RACI), clarifying roles such as Data Owners, Data Stewards, and technical custodians.
Own enterprise metadata: Govern and scale Business Glossary, KPI/metric definitions, data dictionaries, and documentation standards to reduce ambiguity and improve data literacy.
Establish standards and processes for data lineage (business + technical): certification of critical datasets/reports, and impact analysis for changes.
Define DQ strategy for critical domains: quality dimensions, thresholds, ownership, and remediation workflows.
Create playbooks, templates, and training to embed governance in delivery (from intake to release).

6+ years of experience in Data Governance / Data Management / Analytics Governance in complex organizations (ideally regulated environments).
Proven experience designing and running governance mechanisms end-to-end: operating model, stewardship/ownership, glossary & metrics, metadata/catalog, lineage, access & privacy controls, and data quality.
Strong understanding of governance capabilities and maturity concepts (e.g., governance + security emphasis, business data knowledge/metadata, controls).
Ability to influence without authority: strong stakeholder management, facilitation, negotiation, and communication across technical and non-technical audiences.
Strong problem solving, pragmatic approach, and ability to drive execution in ambiguous environments.
Nice-to-Have: Experience with governance / catalog / lineage / DQ tooling (e.g., Collibra/Alation/Purview, lineage tooling, data observability, data contracts).
DAMA-related certifications or training (DAMA International/Italia) and/or governance frameworks exposure.
Experience in insurance/financial services or similarly regulated contexts.

Senior Data Governance Specialist

Key skills