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For Companies At a Glance
- Tasks: Shape the future of finance with AI-powered data products and collaborate with diverse teams.
- Company: Join Capgemini Invent's innovative DFRC team focused on risk and compliance.
- Benefits: Enjoy flexible working, competitive pay, and opportunities for personal growth.
- Why this job: Make a real impact in finance while developing your skills in a dynamic environment.
- Qualifications: Experience in consulting or financial services with strong stakeholder management skills.
- Other info: Embrace diversity and inclusion in a supportive workplace culture.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join our fast‑growing, collaborative DFRC team to transform risk and finance with AI‑powered models and cloud‑first data platforms. As a Data Product Owner you will shape the future of risk and finance, ensuring products align with client objectives and industry regulations.
Responsibilities
- Define, develop, and maintain a clear data product vision aligned with client objectives.
- Translate business needs into actionable product requirements; create comprehensive product documentation.
- Collaborate with business stakeholders to gather requirements and facilitate discussions.
- Serve as a liaison between technical teams and business units.
- Ensure product development adheres to regulatory, data governance, and quality standards.
- Work with data engineers, analysts and developers to guarantee timely delivery of features.
- Define KPIs and success metrics; monitor performance post‑launch.
Profile & Qualifications
- Current consulting or Financial Services background (minimum 2–4 years depending on grade) with demonstrable stakeholder management.
- Experience delivering/managing a data product in an agile/SAFe framework.
- Hands‑on across all stages of end‑to‑end product development, including large‑scale deployments.
- Strong communication skills: simplify complex concepts and tell compelling stories for audiences at all seniority levels.
- Leadership experience managing technical and non‑technical stakeholders.
- Eligibility to work in the UK (SC Eligible).
Technical & Analytical Skills
- Deep understanding of product management principles, user stories, and tools such as JIRA.
- Familiarity with SQL; Python coding is a plus.
- Knowledge of governance principles and ability to track KPIs/OKRs.
- Experience with data modelling and ETL processes.
- Expertise in agile methodologies (Scrum, Kanban, SAFe).
- Strong storytelling & presentation skills across technical and non‑technical audiences.
- Experience leveraging data to enhance user experience.
Senior Consultant Requirements (additional)
- Certified product owner/scrum master/SAFe practitioner.
- Proven data product strategy and architecture experience.
- People or work‑stream management experience.
- Involved in the commercial cycle: scope definition & budget agreement.
Benefits & Growth
- Dynamic, inclusive team with emphasis on diversity and collaboration.
- Opportunities in business development, internal contribution, and learning & development.
- Variable remuneration, flexible benefits, and performance‑based incentives.
- Hybrid working model with flexible arrangements across UK locations.
Diversity & Inclusion
Capgemini actively promotes diversity and inclusion, offering flexible working, mental health support, and a culture that values the whole self.
Consultant/Senior Consultant - Data Product Owner in London employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant/Senior Consultant - Data Product Owner in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out 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.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with data product management and agile methodologies. We want to see how you can bring value to their team, so share specific examples of your past successes!
✨Prepare for the Interview
Do your homework before the interview! Understand Capgemini's values and how they align with your own. We recommend practising common interview questions and preparing some thoughtful questions to ask them too. It shows you’re genuinely interested!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Consultant/Senior Consultant - Data Product Owner in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Consultant/Senior Consultant role. Highlight your experience in data product management and how it aligns with our vision at StudySmarter. We want to see how you can contribute to transforming risk and finance!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences that showcase your ability to manage stakeholders, deliver data products, and work in agile environments. We love seeing real-world applications of your expertise.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still telling your story effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Capgemini Invent
✨Know Your Product Inside Out
As a Data Product Owner, you need to have a solid grasp of the product vision and how it aligns with client objectives. Make sure you can articulate the product's features, benefits, and how it meets industry regulations. This will show your potential employer that you're not just familiar with the role but genuinely passionate about it.
✨Master the Art of Storytelling
Strong communication skills are key in this role. Prepare to simplify complex concepts and present them in a compelling way. Think about how you can tell a story around your past experiences, especially those involving stakeholder management and product delivery. This will help you connect with your interviewers on a deeper level.
✨Showcase Your Agile Experience
Since the role involves working within an agile framework, be ready to discuss your experience with methodologies like Scrum or SAFe. Bring examples of how you've successfully managed data products through all stages of development. Highlight any specific tools you’ve used, like JIRA, to demonstrate your hands-on experience.
✨Prepare for Technical Questions
Expect some technical questions related to SQL, Python, and data governance principles. Brush up on these areas and be prepared to discuss how you've applied them in previous roles. Showing that you can bridge the gap between technical teams and business units will set you apart from other candidates.
