Data Management Consultant

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

• →Design and implement AI-enabled modern data management frameworks, including defining AI use cases and detailed requirements, orchestrating workflows, defining and working with technology to configure AI-driven Data Management agents
• →Enable AI-ready data by defining standards for metadata, data taxonomies, data products and semantic layers that support both human understanding and model consumption.
• →Collaborate with architecture and engineering teams to design target state architectures that enable AI data management solutions
• →Define guardrails and governance approaches for safe and effective use of AI for Data Management activities
• →Define and embed data governance, ownership, and operating models aligned to business and regulatory objectives
• →Deliver core data management capabilities, including data quality, metadata and lineage solutions
• →Support the rollout and adoption of data management frameworks, working with stakeholders across business and technology
• →Contribute to Capco thought leadership, exploring how agentic and automated data management is shaping financial services

• Strong experience in data management, data quality or data strategy
• Experience of working within Financial Services, ideally within data teams
• Practical knowledge of data governance frameworks such as DAMA, DCAM or CDMC
• Experience designing and standing-up data management capabilities, including DQ, lineage and metadata management
• Familiarity with data management tooling such as Collibra, Solidatus, Ataccama or Informatica
• Clear communication skills, with the ability to translate complex concepts for a range of stakeholders
• Strong stakeholder management skills, with the ability to drive adoption, influence senior stakeholders and embed data management as a business priority
• Understanding of modern data and AI platforms
• Ability to bridge data management and architecture discipline, translating business problems into scalable and technology-enabled AI solutions

• Exposure to AI-enabled or automated data management solutions
• Understanding of regulatory drivers such as GDPR, BCBS 239, EU AI Governance Act or ESG reporting
• Experience supporting vendor selection, roadmaps or business cases for data initiatives
• Experience working in a Product Ownership role, with exposure to backlog management, prioritisation and stakeholder alignment for the development of in-house solutions
• Consulting experience in dynamic, cross-functional environments
• Experience supporting small teams or workstreams
• Knowledge of AI risk, governance and model controls, particularly in regulated environments (e.g. explainability, traceability, model validation)