Senior Data Governance Strategist

Quick Facts

• Role: Senior Data Governance Strategist

Description

As a Senior Data Governance Strategist, you will help organizations unlock the value of their data by designing and implementing modern data governance frameworks that enable trusted, compliant, business-driven decision making. You will work at the intersection of business, data, and technology to build scalable governance capabilities for data, analytics, and AI initiatives.

Responsibilities

• Lead data governance strategy engagements, including maturity assessments, target operating model, policies, roadmap, and business case

• Design governance frameworks aligned with DAMA-DMBOK and adapt them to data mesh and federated models

• Own semantic foundations: business glossary, concept model, taxonomies and ontologies; define knowledge graph and metadata standards; run semantic standards and review boards across domains

• Write standards, model key concepts, and review quality rules and catalog content when needed

• Operationalize governance with data owners and stewards (decision rights, forums, issue management, metrics, and reporting)

• Partner with data engineers and platform teams to implement standards (classification, lineage, quality checks) and semantic models in catalogs, semantic layers, and data platforms

• Define and implement data sovereignty and residency controls, including data classification, residency/jurisdiction rules, access outside the EU, retention, and evidence for GDPR and sector regulation compliance

• Support AI and analytics programs with governed definitions, semantic context, and sovereignty-compliant data access

• Lead and develop consultants, manage engagement delivery and client relationships, and contribute to offers, assets, and thought leadership

Requirements

• 7+ years of experience in data governance or data management, including several years leading engagements or teams (ideally in consulting)

• Deep knowledge of data governance principles and methodologies (e.g., DAMA-DMBOK); CDMP or equivalent certification is a plus

• Hands-on experience with business glossaries, taxonomies and ontologies; working knowledge of RDF/OWL/SKOS and knowledge graphs

• Experience with semantic or metadata tools (e.g., PoolParty, TopBraid, Collibra, Informatica, Alation, Microsoft Purview)

• Experience with data quality, metadata, and master data management

• Experience with data privacy, classification, data sovereignty and residency requirements (e.g., GDPR, cross-border data transfers, sector regulation) and implementing controls

• Proven ability to lead client engagements and run senior stakeholder workshops to settle disagreements on definitions and ownership

• Excellent communication and presentation skills; fluent English

• Experience in preferred industries (FS, Automotive, Energy & Utilities, Tech, FMCG, Pharma) is highly desirable

Benefits

• Yearly financial bonus

• Private medical care with Medicover (including additional packages such as dental, senior care, oncology) on preferential terms

• Life insurance and access to NAIS benefit platform

• Access to 70+ training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on NEXT platform

• Free access to Education First languages platform, TED Talks, and Udemy Business materials and trainings

• Hybrid working model with modern office work and ergonomic work-from-home setup (home office package)