Product Architect - Data Intelligent Platform in London

Product Architect - Data Intelligent Platform in London

London Full-Time 75600 - 92400 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the design and strategy for our Data Intelligence Platform, driving innovation with AI and cloud technologies.
  • Company: Join Capgemini, a global leader in tech transformation with a focus on inclusivity and innovation.
  • Benefits: Enjoy flexible working, wellbeing support, and access to extensive training and development opportunities.
  • Other info: Be part of a diverse team that values your unique perspective and supports your growth.
  • Why this job: Shape the future of data and AI while making a real impact in a dynamic environment.
  • Qualifications: Experience in enterprise-scale data platforms and strong leadership skills are essential.

The predicted salary is between 75600 - 92400 £ per year.

Join us as a strategic Product Architect and help shape Capgemini's global Data Intelligence Platform. We're seeking a TOGAF-certified leader with expertise in Cloud, Data, AI and Product Architecture at scale to drive the adoption of cloud, analytics, automation and AI while influencing senior stakeholders and enabling the next generation of intelligent services. This is a rare opportunity to define a strategic platform at the heart of Capgemini's digital transformation journey. You will play a pivotal role in shaping how data and AI drive operational excellence, client innovation, and future growth across a global business.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your role:

  • Define and drive the long-term vision, architecture, and strategy for our Data Intelligence Platform.
  • Lead the evolution of scalable, secure, and high-performing data services supporting cloud and hybrid environments.
  • Shape the adoption of AI, Generative AI, analytics, and emerging technologies across the platform.
  • Establish data governance, integration, and architecture standards that align with CIS business priorities.
  • Partner with senior leaders across Operations, Delivery, Transformation, and Shared Services to maximise platform value and adoption.
  • Influence strategic technology decisions and build alignment across global stakeholders.
  • Own the platform roadmap, investment priorities, and innovation agenda.
  • Lead and inspire a multidisciplinary team of architects, engineers, and data specialists.
  • Translate complex technical concepts into compelling business outcomes for executive audiences.

You can bring your whole self to work. At Capgemini, striving for equity, diversity and inclusion is part of everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone.

Your skills and experience:

  • Significant experience designing and leading enterprise-scale data platforms in complex global organisations.
  • Deep expertise in modern data architectures, cloud platforms, and technologies such as Databricks, Snowflake, Spark, Delta Lake, and AI/ML solutions.
  • Proven ability to define enterprise technology strategy and translate business objectives into architectural outcomes.
  • Strong leadership, stakeholder management, and influencing skills.
  • Experience driving organisational change and building consensus across diverse teams and senior stakeholders.
  • Passion for innovation and a strong understanding of emerging trends in data, analytics, cloud, and AI.

Qualifications & Certifications:

  • Bachelor's Degree (Computer Science, Data, Engineering or related field)
  • TOGAF Certified Enterprise Architect (preferred)
  • Azure, AWS, GCP or Databricks Professional Certification
  • Experience leading large-scale Data, Analytics & AI platforms
  • Strong stakeholder management and strategic leadership skills

We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process.

Baseline Personnel Security Standard (BPSS): To be successfully appointed to this role you will need to undergo Baseline Personnel Security Standard checks. There are no nationality or residency restrictions, although if you have resided outside of the UK within the last 3 years, further checks may be required.

Flexibility to work your way: You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Your wellbeing: You’d be joining an accredited Great Place to work for Wellbeing in 2023. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.

Shape your path: You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

Shared energy: You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do.

Why should you consider Capgemini? Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts.

About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries.

Product Architect - Data Intelligent Platform in London employer: Capgemini

Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.

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Contact Details:

Capgemini Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Architect - Data Intelligent Platform in London

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We think you need these skills to ace Product Architect - Data Intelligent Platform in London

TOGAF Certification
Cloud Platforms (Azure, AWS, GCP)
Data Architecture
AI/ML Solutions
Databricks
Snowflake
Spark

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Capgemini.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capgemini and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Capgemini

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Capgemini uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.