Data Management Consultant

Overview

As a Data Management Consultant in Accenture’s AI & Data Practice, you help establish trusted data foundations and AI-ready data for scalable client solutions. You’ll specialise in governance, quality, metadata, and master data management to support data-driven outcomes.

You will work with cross-functional teams to translate complex data needs into deliverables and actionable roadmaps. This role offers the chance to shape data management solutions for high-impact client challenges within a collaborative, innovation-driven environment.

You’ll benefit from global training, diverse projects, and opportunities to advance your career in data governance and AI-enabled data capabilities.

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 work onsite with clients
• extensive global training and network of experts

Responsibilities

• Be the subject matter expert in one of the key capabilities (e.g., AI Data Management, Data Governance, Data Quality, Metadata Management).
• Support design and delivery of Data Management and Governance solutions aligned to client priorities and regulatory needs.
• Assess current data capabilities, identify gaps, and translate findings into clear recommendations and delivery plans.
• Collaborate with business, data and technology teams to gather requirements and convert complex needs into deliverable solutions.
• Produce high-quality deliverables and support implementation using Agile, product-led or traditional delivery methods.
• Build trusted client relationships, communicate clearly with technical and non-technical stakeholders, and contribute to proposals, practice development and coaching of junior colleagues.

Key requirements

• Typically 3 years minimum hands-on experience in one or more capabilities.
• Ability to analyse business and technical requirements, structure ambiguous problems and present practical recommendations.
• Experience creating client-ready deliverables, facilitating workshops and working with business, data and technology stakeholders.
• Experience contributing to delivery in multidisciplinary and multi-location teams using Agile, product-led or traditional methods.
• Strong written and verbal communication, collaborative working, attention to detail and a commitment to continuous learning and knowledge sharing.
• collaborative working
• attention to detail
• continuous learning
• Agentic Data Management
• AI Observability
• semantic layers

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