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Capgemini

Manager / Senior Manager - Data Management

Glasgow
Posted 15 days ago
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Data Platform Architecture & Engineering Consultant – Data & AI Strategy

At Capgemini Invent

At Capgemini Invent, we empower change through strategic, creative, and scientific problem-solving. Our Data & AI Strategy team is shaping the future of AI consulting by embedding generative AI into every layer of our client-facing work. We’re not just advisors—we engineer disruption.

As a Data Platform Architecture & Engineering Consultant, you’ll be at the forefront of designing and delivering next-generation platforms across strategy, innovation, and execution. Your role will bridge complex technical challenges with strategic business transformation, ensuring accuracy, innovation, and scalability.


What You’ll Do

Core Responsibilities

You’ll lead and deliver across critical dimensions of data platform architecture:

  • Design AI + Data Platforms Lead the architecture and development of scalable, secure, and cost-efficient AI/ML and data platforms across hybrid cloud environments (AWS, GCP, Azure). Foster an AI-driven mindset that integrates distributed AI systems, agentic models, and emerging technologies.

  • Enable Hybrid Cloud Transformation Implement state-of-the-art hybrid data architectures (e.g., Snowflake, Redshift, Databricks, BigQuery) and migrate legacy systems to cloud-native solutions, unlocking agility, performance, and transformative business value.

  • Innovate with AI + Data Solutions Build Proof of Concepts (PoCs) and Lean MVPs for enterprise-grade AI/ML models, data fabric architectures, and metadata-driven optimizations—ensuring alignment with strategic business objectives.

  • Automate for Speed & Efficiency Adopt DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) (Terraform, CloudFormation) to accelerate platform deployment with reliability and governance.

  • Advise & Strategise the Enterprise Data Vision Develop architecture roadmaps, blueprints, and communication plans, weaving together best design frameworks (TOGAF, DAMA) and modern governance models (Data Mesh).

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • Drive Design Excellence Champion user-centric storytelling and data platform validation, ensuring seamless integration via ITIL and enterprise architecture principles.

  • Supercharge Delivery with AI Acceleration Explore and prototype AI augmentations—augmenting your own workflows while enabling our clients to extract value from data faster and more intelligently.

Business Growth Opportunities

Beside delivering client work, you’ll contribute to:

  • **Proposal/Biddea **writing (RFPs, RFIs, client pitches).
  • Internal thought leadership (whitepapers, think-tanks, practice development).
  • Skill growth (training, certifications—e.g., DAMA).

You’ll Have

Essential Professional Fit

  • A strategic mindset that bridges AI/ML modeling to long-term enterprise alignment.
  • Hands-on technical experience (coding, platform optimization, and tool integration).
  • Consulting core—proven ability to translate client challenges into high-impact, actionable solutions.

Key Educational & Experience Requirements

  • 10+ years in enterprise data, analytics, and AI). Consulting experience is highly preferred.
  • 6+ years with cloud architectures (AWS, Azure, GCP), including experience with modern data platforms (e.g., Snowflake, Databricks, BigQuery).
  • 3+ intermediate cloud certifications (e.g., AWS, Azure) and deep expertise in AI workload cloud environments.
  • Infrastructure proficiency in DevOps tools (Terraform, ARM, CloudFormation), cloud security, and automation for AI solutions.
  • Methodologies: Sound understanding of ETL/ELT processes, Data Mesh, and transformative cloud-native patterns.
  • Migration: Hands-on experience moving legacy systems to cloud Data Fabric/Data Mesh architectures.
  • Advisory background: Proven track record in problem-solving, client stakeholder management, financial scoping, and negotiating buy-ins.

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What We Seek in Technical Proficiency

Desirable Add-ons

You’ll stand out with:

  • UK Public Sector or Banking/BFSI knowledge (in-demand domains).
  • Expertise in cloud cost optimization tools ( exposición rationalization).
  • Agile leadership in cross-functional data/ML projects.

Why This Role Excites Us (And You!)

Career & Culture

  • Redefining Expertise: Gain leadership roles in AI strategy at a global consulting firm.

    • Ranked Glassdoor's #1 UK workplace for five consecutive years.
    • Competitive remuneration with flexible benefits tied to personal and business performance.
  • Path Forward:

    • Clear certification pipeline (e.g., DAMA) with tailored training programs via our Data Academy.
    • Achieve skills validation with platforms aimed at evolving your career.
    • Direct impact on national/enterprise strategy.
  • Fulfilling Purpose:

    • Embed CSR values through responsible tech innovation.
    • Participate in a sustainable, ethical organization recognized by Ethisphere for 10+ years.

Modern Workplace

  • Flexibility: Embedded hybrid policies with tailored working arrangements.
  • Wellbeing: Strengthened by in-house apps (Thrive/Peppy) and a culture grounded in psychological safety with trained Mental Health Champions.

Do You Want To Drive AI-Driven Transformation?

Launch Your Application Join us via apply here (replace placeholder) and share your diverse background and enthusiasm for reshaping data ecosystems. Ensure your fit is strategic + visionary—because this isn’t just consulting—it’s putting AI to work for enterprises.


For more information on Capgemini Invent, visit our site. We look forward to meeting trailblazers like you.

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Skills

Data Platform Architecture
Cloud-Native Architecture
AI Strategy
Data Engineering
DevOps
Infrastructure-as-Code
Strategic Leadership
Stakeholder Management
Cloud Migration
ETL/ELT
Data Mesh
Data Fabric

Location

London, England, United Kingdom

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