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Consultant​/Senior Consultant - Data Management

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Consultancy.uk
Full Time position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Data Scientist
Job Description & How to Apply Below
Position: Consultant / Senior Consultant - Data Management

Overview

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us in driving transformation that not only solves our clients’ current challenges but unlocks future value and delivers lasting impact. Informed and validated by science and data. Superpowered by creativity and design.

All underpinned by technology created with purpose.

Join Capgemini’s Enterprise Data & Analytics (EDA) team working at the forefront of data + AI. You’ll play an influential role in designing and shaping data & AI foundations that power cutting‑edge AI, agentic AI and advanced analytics, ensuring our clients trust their data, scale intelligent products and accelerate business impact.

Your Role

This role sits at the intersection of advisory, strategy and delivery, perfect for someone who thrives on shaping vision and guiding clients through complex data challenges. From enabling AI‑ready data foundations to embedding ethical governance for advanced analytics, you’ll help organisations unlock the full potential of their data.

  • ADVISE on data, analytics and AI strategy – act as a trusted advisor, shaping vision and defining AI‑driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities.
  • TRANSLATE complexity into clarity – guide and influence senior stakeholders, bridging the gap between technical concepts and business priorities to secure buy‑in and drive cultural change toward data‑driven outcomes.
  • DESIGN operating models – define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations.
  • ENABLE trusted AI and analytics – support the discovery and design of data governance, data quality and master data management solutions that ensure compliance, transparency and ethical AI practices.
  • COLLABORATE for impact – work alongside business leaders, developers, architects and data scientists to ensure governance, quality and compliance are integrated into technical solutions and AI products.
  • LEAD and DEVELOP talent (Senior Consultant Level) – lead work streams, coach junior colleagues and shape best practices across accounts, contributing to thought leadership and capability development in data and AI foundations.
Role Details
  • Business Development – leading/contributing to RFIs, RFPs / Proposals / Bids, Proposition Development, client pitches & hosting at events.
  • Internal contribution – campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
  • Learning & development – training to support your career development and the skills demand within the company, certifications, etc.
Your Profile
  • Strong advisory skills, stakeholder communication and problem‑solving skills.
  • Proven hands‑on experience designing and implementing data management, governance or MDM solutions (consulting or industry).
  • Practical experience identifying and deploying at least one data management or governance tool, such as Informatica, Collibra, Alation, Ataccama, Microsoft Purview.
  • Demonstrable prior project experience where you led or contributed to data management initiatives – e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management or data lineage.
  • Experience defining and ope rationalising data stewardship roles and responsibilities within federated or centralised data governance models.
Desirable
  • Experience in AI‑related data preparation, data management use case identification, AI governance or Responsible AI frameworks.
  • Understanding of model lifecycle management, bias detection and explainability.
  • Familiarity with DMBOK framework.
What You’ll Love About Working Here
  • A clear path to professional certification (DAMA, Cloud Data).
  • The opportunity to support the delivery of bespoke AI products.
  • Access to our Data Academy and AI upskilling programs.
  • Flexible working, wellbeing…
Position Requirements
10+ Years work experience
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