Senior Data Governance Consultant

Quick Facts

• Role: Senior Data Governance Consultant

• Focus: Establish trusted, compliant data foundations to enable business growth, analytics, and AI transformation

Description

You will help clients operationalize data governance frameworks so data is managed as a strategic asset. The work includes designing governance operating models, defining data standards and business rules, keeping catalogs and metadata current (including lineage), and setting up data quality and privacy/classification processes. At senior level, you will lead maturity assessments, coaching, and produce governance metrics and audit-ready evidence.

Responsibilities

• Implement governance operating models (roles, RACI, decision rights, stewardship forums)

• Own and maintain business glossary and, when needed, taxonomies, ontologies, and knowledge graph standards

• Maintain an up-to-date data catalog with linked technical metadata, lineage, and classification

• Define and implement data quality rules; build dashboards; run issue and remediation lifecycle

• Apply data classification and privacy requirements (e.g., GDPR), including access, retention, and data product onboarding evidence for regulators

• Lead governance maturity assessments and convert findings into prioritized roadmaps

• Coordinate with data engineers and platform teams to implement standards, classification, lineage, and quality checks in catalogs and platforms

• Prepare governance metrics, reporting, training materials, and audit evidence; contribute to reusable accelerators; coach consultants and client data stewards

Requirements

• 3+ years of experience in data governance/data management/master data/data quality/analytics (consulting or large enterprise preferred)

• OR 5+ years with hands-on work in at least three areas: governance frameworks, stewardship, data standards/master data, data quality, metadata catalogs, semantic assets, data privacy, and leading workstreams

• Understanding of data governance principles and methodologies (e.g., DAMA-DMBOK)

• CDMP (or equivalent) is a plus

• Hands-on experience with at least one governance/catalog/data quality tool (Collibra, Informatica, Alation, Microsoft Purview)

• Hands-on experience with ERP or master data systems (e.g., SAP)

• Working SQL

• Business analysis and facilitation skills (process mapping, requirements gathering, stakeholder workshops)

• Awareness of data protection and regulatory requirements (e.g., GDPR)

• Fluent English; strong communication and organization skills

• Willingness to work across topics and grow into new ones

• Industry experience in FS, Automotive, Energy & Utilities, Tech, FMCG, or Pharma is highly desirable

Benefits

• Yearly financial bonus

• Private medical care (Medicover) with additional packages (e.g., dental, senior care, oncology) on preferential terms

• Life insurance and access to the NAIS benefit platform

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

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

• Hybrid working model with home office package (laptop, monitor, chair) after onboarding