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- Tasks: Lead the lifecycle of data products and drive impactful data-driven initiatives.
- Company: Join a global tech transformation specialist with a focus on AI and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact by overseeing innovative data solutions in a dynamic environment.
- Qualifications: Experience in data projects, project management, and team leadership required.
- Other info: Diverse and inclusive workplace that values unique identities and experiences.
The predicted salary is between 36000 - 60000 £ per year.
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
The Data & Analytics Product Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. This role requires technical expertise, strategic thinking, and leadership skills to drive the successful execution of data-driven initiatives.
Main Responsibilities- Lead the full lifecycle of data products — from strategy and roadmap definition to delivery and optimization.
- Collaborate with business and technical teams to prioritize initiatives, define data requirements, and ensure alignment with business goals.
- Oversee data architecture, pipelines, and governance to guarantee quality and accessibility.
- Monitor performance through KPIs and drive continuous improvement using data-driven insights.
- Lead cross-functional teams (engineering, analytics, data science) to deliver high-impact solutions, fostering collaboration and technical excellence.
- Experience working with international clients.
- Previous experience in data and analytics projects.
- Previous experience in project management.
- Experience with value-based prioritization and risk management.
- Experience with team leadership.
- Experience in either the Data Platform, Data Visualization, or Data Migration space.
- Experience with major AZURE Cloud Platform provider.
- Experience migrating data platform to cloud.
- Experience building data platforms on-prem and in the cloud.
- Experience with widely used operational tools such as Hubspot, Workday, Segment, or Braze.
- Experience with project management tools.
- Experience with AI/ML.
Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
[27043] - Data & Analytics Product Manager in London employer: Ciandt
Contact Detail:
Ciandt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land [27043] - Data & Analytics Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data and analytics expertise. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data product management. We want you to feel confident and ready to showcase your strategic thinking!
✨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 take that extra step.
We think you need these skills to ace [27043] - Data & Analytics Product Manager in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how your experience aligns with our mission of creating scalable tech solutions using AI.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data & Analytics Product Manager role. Highlight relevant experiences and skills that match the job description, especially in project management and team leadership.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and qualifications at a glance.
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 without any hiccups!
How to prepare for a job interview at Ciandt
✨Know Your Data Inside Out
Make sure you’re well-versed in the data products and analytics tools relevant to the role. Brush up on your knowledge of data architecture, pipelines, and governance. Being able to discuss specific examples of how you've managed data projects will show your expertise.
✨Showcase Your Leadership Skills
Prepare to talk about your experience leading cross-functional teams. Think of examples where you’ve successfully driven collaboration between engineering, analytics, and data science teams. Highlight how you fostered a culture of technical excellence and continuous improvement.
✨Align with Business Goals
Understand the company’s mission and how the Data & Analytics Product Manager role fits into their strategy. Be ready to discuss how you would prioritise initiatives based on business objectives and how you’ve done this in past roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and strategic thinking. Prepare scenarios where you had to make tough decisions regarding project management or risk management. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
