Data Management Consultant
Accenture · London, England ·
Last confirmed by our partners on 21 Oct 2026.
Overview
As a Data Management Consultant in Accenture’s AI & Data Practice, you help build trusted data foundations and AI-ready data to enable scalable, business-critical solutions. You will work with cross-functional teams to design and deliver Data Management and Governance solutions aligned to client priorities and regulatory needs.
You’ll assess current data capabilities, translate findings into actionable plans, and support delivery using agile or traditional methods. The role combines deep subject-matter expertise with hands-on delivery and client coaching in a globally connected, innovative environment.
Pay / Benefits
- up to 25 days’ vacation per year
- private medical insurance
- 3 extra days leave per year for charitable work
- flexibility and mobility to visit clients
- comprehensive benefits package
Responsibilities
- When in scope, design and deliver Data Management & Governance solutions aligned to client priorities and regulations
- Assess client data capabilities, identify gaps, and translate findings into recommendations and delivery plans
- Gather requirements and facilitate workshops with business, data, and technology stakeholders
- Produce high-quality deliverables and support implementation using Agile, product-led or traditional methods
- Build trusted client relationships, communicate with technical and non-technical stakeholders, and contribute to proposals and coaching of junior colleagues
- Collaborate in multidisciplinary, multi-location teams to drive data-related outcomes
Key requirements
- Typically 3 years minimum hands-on experience in one or more capabilities
- Ability to analyse business and technical requirements and translate into practical recommendations
- Experience creating client-ready deliverables and facilitating workshops
- Experience contributing to delivery in multidisciplinary and multi-location teams
- Strong written and verbal communication, collaboration, attention to detail, and continuous learning
- collaborative working
- strong communication
- attention to detail
- Agentic Data Management
- AI Observability
- semantic layers
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