Hybrid Data Governance Analyst — AI-Ready Data Foundations

Harnham; Amsterdam; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Harnham is seeking a Data Business Analyst to shape how the organisation uses and trusts its data. You’ll sit at the crossroads of business analysis and data governance, improving data quality, governance, and decision-making while laying foundations for future AI capabilities.

You will work in a hybrid setup based in Amsterdam, collaborating with data owners, stewards, and technology teams to mature data practices, support reporting, and enable AI readiness across the enterprise.

Qualifications

• Proven experience in business analysis and data governance.
• Understanding of data governance principles and best practices.
• Experience with gap analysis, process mapping, and requirements gathering.
• Ability to analyse complex data environments and identify improvements.
• Strong stakeholder management and communication skills.
• Familiarity with GDPR and data privacy considerations.

Responsibilities

• Analyse and document data flows, processes, and business operations across core systems.
• Investigate data quality and data lineage issues and prioritise improvements.
• Develop and maintain a structured Data Issues Register.
• Produce documentation to support stakeholder decision-making and alignment.
• Contribute to data governance artefacts: data dictionaries, glossaries, lineage docs.
• Collaborate with data owners, stewards, tech teams, and stakeholders to improve data management.
• Support evolution of the data governance framework.
• Help establish trusted data foundations for reporting and AI readiness.

Skills

Business analysis

Data governance

Gap analysis

Process mapping

Requirements gathering

Stakeholder management

Communication

GDPR knowledge

Data privacy

Data governance tools

Tools

Data governance tools

Job description

Harnham is seeking a Data Business Analyst to shape how the organisation uses and trusts its data. You’ll sit at the crossroads of business analysis and data governance, improving data quality, governance, and decision-making while laying foundations for future AI capabilities.

You will work in a hybrid setup based in Amsterdam, collaborating with data owners, stewards, and technology teams to mature data practices, support reporting, and enable AI readiness across the enterprise.