Test I Datamanagement Consultant

Your role

As a Data Management Consultant, you help Investment Management teams unlock the full value of their data. You act as the bridge between data management frameworks and daily practice, enabling stakeholders to effectively govern, manage, share, and use data to support business outcomes. You help ensure that data is discoverable, trusted, usable, and compliant, while making our data architecture, governance standards, and tooling work in practice, not just on paper.

Use your knowledge and experience for a job with real social impact: helping deliver a good pension for millions of people working in healthcare and welfare.

At PGGM, we recognise the critical role data plays in becoming the leading 3D (Risk, Return & Impact) investment manager for PFZW and its participants.

As a Data Management Consultant within the Investment Management domain, you support the organisation's transition towards a Data Mesh way of working by helping domain teams take ownership of their data products and data assets. You work closely with Data Product Owners, Data Engineers, Data Stewards, and business stakeholders helping them to improve data quality, governance, discoverability, and usability.

Your role focuses on enabling business value through better data management. You help stakeholders understand, govern, and leverage data more effectively to support investment processes, analytics, reporting, and decision-making. Through advisory, coaching, metadata management, and governance support, you help ensure that data is managed as a strategic asset across Investment Management.

You will join a team of passionate data professionals with expertise in data architecture, governance & quality. As part of a team on a journey from self-organising to high-performing, you'll find both structure and the opportunity to shape how we work together and support the wider organisation.

You will join a team of passionate data professionals with expertise in data architecture, governance & quality. As part of a team on a journey from self-organising to high-performing, you'll find both structure and the opportunity to shape how we work together and support the wider organisation.

Data Value Realisation & Stakeholder Enablement

• Serve as the trusted advisor and primary point of contact for Data Product Owners, Data Engineers, Data Stewards, and Data Users across Investment Management.
• Help stakeholders maximise the business value of data and data products by helping them in improving data discoverability, quality, trust, accessibility, and reuse.
• Guide teams in applying data management practices that enable better decision-making, analytics, reporting, and business outcomes.
• Identify barriers to effective data usage and drive improvements that increase the adoption and impact of data products.
• Facilitate workshops, training sessions, and knowledge-sharing activities that improve data literacy and data management maturity across the organisation.

Metadata & Data Governance Management

• Support the creation and maintenance of business, technical, and operational metadata to improve data discoverability and understanding.
• Conduct metadata quality reviews and governance assessments and coordinate improvement actions where needed.

Data Modelling & Data Quality

• Support stakeholders in translating business concepts and requirements into data models, business glossaries, and governance artefacts.
• Help identify, analyze, and address data quality issues in collaboration with business and technology teams.

Collaboration & Continuous Improvement

• Collaborate with Data Engineering, Architecture, Risk, Compliance, and other stakeholders to align on governance, metadata, and data quality initiatives.
• Monitor developments in data management, governance, metadata management, and related technologies and translate relevant trends into practical improvements.
• Contribute actively to a high-performing, self-organising team culture by taking ownership, sharing knowledge, and continuously improving ways of working.

You bring this experience and knowledge

Must have

• Bachelor's or Master's degree in Information Management, Computer Science, Business Information Management, or a related field.
• 2–5 years of experience in data governance, metadata management, data quality management, data stewardship, or data architecture.
• Demonstrated experience supporting the adoption and operationalization of data management practices within an organization.
• Experience working with diverse stakeholder groups in a complex business environment.
• Strong facilitation, communication, and stakeholder management skills.
• Analytical mindset with the ability to structure and solve complex data-related challenges.
• Professional proficiency in English.
• Experience with in investment management, asset management, pension services, or the broader financial services sector.

Nice to have

• Hands-on experience with Collibra, Microsoft Purview, or similar metadata and governance platforms.
• Experience with data…