At a Glance
- Tasks: Join us as a Consultant to drive innovative Data & AI solutions for our clients.
- Company: Capgemini Invent is a global leader in business and technology transformation.
- Benefits: Enjoy flexible working, extensive training opportunities, and a focus on employee wellbeing.
- Why this job: Make a meaningful impact while working on diverse projects in a supportive environment.
- Qualifications: Experience in data & AI consulting, strong stakeholder management, and knowledge of modern data architecture required.
- Other info: Join a company recognised as one of the best places to work in the UK.
The predicted salary is between 43200 - 72000 £ per year.
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 to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role
In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We endeavour to work alongside our clients to extract and leverage key insights driven by our Data & AI Architecture and Analytics expertise and capabilities. It’s an exciting time to join our Data & AI Architecture Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the implementation of cutting-edge data architecture methods. Are you passionate about Data & AI Platform Architecture - and believe it is the key to unlocking business value? Then read on and reach out!
As a consultant in the business, you’ll help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team.
Key expectations from this role include:
- You will support the delivery of our Data & AI Platform/Architecture DevOps projects and, working closely with your colleagues, ensure Client expectations are met at all stages.
- You will continue to develop new skills in the fields of Data & AI Platform/Architecture, with support from your colleagues, to ensure that current methods are used where appropriate.
- You will support the development on internal initiatives related to the fields of Data & AI Platform/Architecture, to ensure capability growth as well as for Business Development purposes.
- You will seek to deliver work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales.
- You will work effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery.
As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
- Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client 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
- Proven success in data & AI platform consulting, with a track record of delivering successful data-driven projects.
- Excellent stakeholder management and presentation skills, with a proven ability to help clients understand and unlock value from their data.
- Passion for solving real-world business problems using data and data-driven approaches.
- Good foundation in data engineering, which involve building and maintaining data pipelines for efficient data movement and transformation.
- Knowledge of modern Data architecture Pattern including Data Lake, Datawarehouse, Data Mesh.
- Architectural and/or engineering knowledge of one or more of the following Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks, Snowflake.
- Architectural and/or feature knowledge of one or more of the following Programming Languages/Packages: Python, Java, Scala, Spark, SQL, NoSQL databases.
- Experience working within Agile delivery methodologies.
- Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
- Experience of proposition building and delivery.
- Certification in at least data architecture, data engineering, or data management space.
- Currently working in a major Consulting firm, and/or in industry but having a Consulting background.
- SC Cleared or SC eligible.
What You’ll Love About Working Here?
No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It’s really rewarding. And it’s also really varied. You’ll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time.
We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 4 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page.
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. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
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.
Need To Know
At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. 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.
CSR: We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
About Capgemini Invent
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Consultant - Data & AI Architecture - SR - London employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant - Data & AI Architecture - SR - London
✨Tip Number 1
Familiarise yourself with the latest trends in Data & AI Architecture. Attend webinars, read industry reports, and follow thought leaders on social media to stay updated. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals already working in data consulting roles. Use platforms like LinkedIn to connect with current employees at Capgemini Invent. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data-driven solutions. Be ready to explain your role, the challenges faced, and the outcomes achieved. This will demonstrate your practical experience and problem-solving skills to potential employers.
✨Tip Number 4
Showcase your passion for continuous learning in the field of Data & AI. Mention any relevant certifications or courses you've completed, and express your eagerness to further develop your skills. This attitude aligns well with Capgemini's commitment to employee growth and development.
We think you need these skills to ace Consultant - Data & AI Architecture - SR - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data and AI platform consulting. Focus on specific projects where you've successfully delivered data-driven solutions, showcasing your skills in stakeholder management and presentation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Data & AI Architecture. Mention how your background aligns with the role's requirements and how you can contribute to Capgemini Invent's mission of driving transformation through data.
Showcase Technical Skills: Clearly outline your technical expertise in data architecture patterns and platforms like Google Cloud, AWS, or Azure. Include any relevant programming languages and tools you are proficient in, such as Python or SQL, to demonstrate your capability.
Highlight Continuous Learning: Mention any certifications or training you've completed in data architecture, engineering, or management. Emphasise your commitment to ongoing professional development, which is crucial for staying current in this rapidly evolving field.
How to prepare for a job interview at Capgemini
✨Showcase Your Data & AI Passion
Make sure to express your enthusiasm for Data & AI Platform Architecture during the interview. Share specific examples of how you've used data-driven approaches to solve real-world business problems, as this aligns with the company's focus on delivering value through data.
✨Demonstrate Stakeholder Management Skills
Prepare to discuss your experience in managing stakeholders effectively. Highlight instances where you've successfully communicated complex data concepts to clients, helping them unlock value from their data. This will showcase your ability to meet client expectations, a key requirement for the role.
✨Familiarise Yourself with Modern Data Architectures
Brush up on your knowledge of modern data architecture patterns such as Data Lakes, Data Warehouses, and Data Mesh. Be ready to discuss how these architectures can be applied in practical scenarios, as this will demonstrate your technical expertise and understanding of the field.
✨Prepare for Agile Methodology Questions
Since experience with Agile delivery methodologies is important for this role, be prepared to discuss your experience working in Agile environments. Share examples of how you've contributed to team success in fast-paced settings, which will show your adaptability and teamwork skills.