Data Management Consultant
Capco
As a Data Management Consultant, you will help financial institutions design trusted, scalable data ecosystems and guide data-driven transformation. You’ll blend strategic advisory with hands-on delivery within Capco’s Data Strategy & Advisory practice, collaborating with cross-functional teams to implement AI-enabled data management capabilities. The role focuses on governance, quality, metadata, and AI-ready data while shaping target architectures and adoption across business and technology stakeholders. This is a hands-on, impact-driven opportunity at a global data practice.
Pay / Benefits- Discretionary bonus
- pension
- health insurance
- life insurance
- mental health support
- parential leave and paid life events
- Design and implement AI-enabled data management frameworks, including AI use cases and requirements; orchestrate workflows and configure AI-driven data management agents
- Define standards for metadata, data taxonomies, data products and semantic layers to support humans and models
- Collaborate with architecture and engineering to design target state architectures enabling AI data management
- Establish guardrails and governance for safe AI use in Data Management
- Define and embed data governance, ownership, and operating models aligned to business and regulatory objectives
- Deliver core data management capabilities (data quality, metadata, lineage)
- Support rollout and adoption of data management frameworks across business and technology stakeholders
- Contribute to Capco thought leadership on agentic and automated data management in financial services
- Strong experience in data management, data quality or data strategy
- Experience in Financial Services data teams
- Practical knowledge of DAMA, DCAM or CDMC governance frameworks
- Experience designing data management capabilities including DQ, lineage and metadata management
- Familiarity with Collibra, Solidatus, Ataccama or Informatica
- Clear communication with diverse stakeholders
- Strong stakeholder management with ability to drive adoption
- Understanding of modern data and AI platforms
- Ability to bridge data management and architecture to translate business problems into AI solutions
- clear communication
- stakeholder management
- ability to translate complex concepts for diverse audiences
- data governance
- data quality
- metadata management
Reference: WJ-747_30165785