About the Role
We are looking for an experienced Business Data Consultant to support our clients’ enterprise data architecture, information management, and data governance agendas. You will analyze, define, and document conceptual business data models, Information Objects, and enterprise data terminology, helping ensure that critical business information is consistently understood, governed, and represented across the enterprise landscape.
Working closely with Enterprise Architects, Data Architects, Data Governance teams, and business Subject Matter Experts (SMEs), you will help strengthen information architecture, improve consistency of business terminology, and ensure projects align with agreed enterprise data standards. You will also support the operationalization of DCAM principles, particularly across Data Architecture, Data Governance, Data Quality, Data Operations, and the Data Control Environment.
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What You’ll Do
- Analyze and document enterprise conceptual data models, business information structures, and relationships between key Information Objects.
- Define, document, and maintain Information Objects and enterprise inventories, supporting completeness, consistency, and traceability.
- Maintain the enterprise data glossary, helping establish clear and consistent business terminology across projects and domains.
- Gather and analyze business and data requirements, identifying data dependencies, ownership, quality considerations, and impacts across processes and systems.
- Apply your knowledge of the DCAM Framework to support maturity assessments and translate data management and governance objectives into practical requirements, controls, and documentation.
What We’re Looking For
- 5+ years’ experience in Business Analysis, Data Management, Data Architecture, or Enterprise Architecture.
- Experience with ServiceNow Enterprise Architecture.
- Experience defining and documenting business information models, conceptual data models, or enterprise data structures, with an understanding of data normalization and modeling.
- Good knowledge of enterprise data governance and data management principles, including working knowledge of DCAM component areas and maturity models.
- Strong requirements analysis and stakeholder management skills, with the ability to collaborate effectively across business, architecture, governance, and technology teams.
- Clear documentation and communication skills, with an analytical approach to translating complex data management concepts into practical requirements.
Bonus Points For
- Experience working with enterprise information or metadata repositories.
- Financial Services experience, particularly within Investment Management, Wealth Management, or Sovereign Fund Management.
- Exposure to enterprise data governance or data transformation programmes.
Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life.
Inclusion
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. We believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
