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For Companies At a Glance
- Tasks: Lead innovative data and AI projects that drive real business transformation.
- Company: Capgemini Invent, a leader in inventive transformation consulting.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a tangible impact by solving complex challenges with cutting-edge technology.
- Qualifications: Experience in data analytics and strong leadership skills required.
- Other info: Join a dynamic team focused on creativity and collaboration.
The predicted salary is between 36000 - 60000 £ 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
Join a dynamic and growing team of analytics and AI specialists united by a mission to deliver end‑to‑end transformations that drive tangible business value. As an Analytics and Insights Managing Consultant you will own flagship projects, help shape enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.
Key Responsibilities- Leading & delivering End‑to‑End Data & Analytics Transformations: Lead the strategic direction and execution of complex data and AI solutions, applying knowledge of scaled frameworks (e.g. Agile/SAFe) to ensure the successful deployment of cost‑effective, scalable analytics and BI solutions.
- Designing & Optimising Data & AI Solutions: Lead and collaborate with other technical experts on platform design, focusing on pipeline automation with big data and leveraging Gen AI tools to optimise performance through enterprise data platforms.
- Delivering strategic advisory: Act as a trusted advisor to C‑level stakeholders, providing insights that bridge the gap between technical capabilities and business goals.
- Crafting compelling user experiences: Drive the development of user‑centred design and storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, ensuring alignment with UI/UX design principles and UAT processes.
- Managing Stakeholder and Project Delivery: Work closely with stakeholders to govern project progress; report to stakeholders.
Managing Consultant - Analytics & Insights in Manchester employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Managing Consultant - Analytics & Insights in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We recommend practising common interview questions and tailoring your answers to showcase how your skills align with their needs. Confidence is key!
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or case studies, we want to see how you’ve tackled challenges in the past. Highlighting your experience with data and analytics will make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Managing Consultant - Analytics & Insights in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Managing Consultant role. Highlight your experience in analytics, data transformations, and any relevant projects you've led. We want to see how you can drive change!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics and insights. Share specific examples of how you've tackled complex challenges and delivered value in previous roles. We love a good story!
Showcase Your Technical Skills: Since this role involves leading data and AI solutions, be sure to mention any technical skills or tools you're proficient in. Whether it's Agile methodologies or Gen AI tools, we want to know how you can contribute to our innovative projects.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our dynamic team at StudySmarter. Don’t miss out on this opportunity!
How to prepare for a job interview at Capgemini Invent
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of data analytics and AI solutions. Be prepared to discuss specific frameworks like Agile or SAFe, and how you've applied them in past projects. This will show that you understand the technical side of the role and can lead complex transformations.
✨Showcase Your Strategic Thinking
During the interview, highlight your experience in delivering strategic advisory to C-level stakeholders. Prepare examples where you've successfully bridged the gap between technical capabilities and business goals. This will demonstrate your ability to think critically and provide valuable insights.
✨Emphasise User-Centred Design
Since crafting compelling user experiences is key, be ready to discuss your approach to UI/UX design principles. Share examples of how you've developed user-centred designs and storytelling in your previous roles, especially in relation to Gen AI/BI products.
✨Engage with Stakeholders
Talk about your experience managing stakeholder relationships and project delivery. Prepare to discuss how you've governed project progress and communicated effectively with stakeholders. This will show that you're not just a technical expert but also a strong communicator and collaborator.
