At a Glance
- Tasks: Lead the development of innovative data products from concept to launch.
- Company: Join a market-leading client with a focus on digital data solutions.
- Benefits: Enjoy remote work flexibility and career growth in a dynamic environment.
- Other info: Monthly onsite meetings in London, perfect for networking and collaboration.
- Why this job: Make an impact by transforming complex data into user-friendly products.
- Qualifications: 5+ years in product management with strong analytical and Agile skills.
The predicted salary is between 63000 - 77000 £ per year.
Largely remote - once a month onsite in London
A client is seeking an experienced Data Product Manager to drive the evolution of their world-class digital data product offerings.
Operating at the intersection of business strategy and engineering, you will take complete ownership of the data product lifecycle from initial discovery to launch, translating complex organisational intelligence into high-value solutions.
To succeed, you must bring over five years of product owner or business analysis experience with a proven track record of building data products.
Candidates must possess a strong analytical background capable of handling dense data environments, making evidence-based choices, and translating complex mathematical or technical concepts into simple, user-centric product roadmaps.
The role demands extensive experience in Scrum and Agile frameworks, ideally backed by professional certifications.
A proven background in Product Management is essential, with a certification in this field being highly advantageous.
You will need advanced project management capabilities to maintain backlogs using tools like Jira or Azure Dev Ops, coordinate cross-functional developers, and partner closely with QA and product marketing teams to ensure seamless releases.
This role presents the opportunity to develop your career in a dynamic and successful market leading environment.
Whilst offering largely remote working, a monthly presence onsite in London is required.
Keywords: Data Product Manager, Product Management, Data Products, Digital Data Products, Business Analysis, Data Product Development, Stakeholder Management, Agile, Product Owner.
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Data Product Manager in London employer: Cadence Resourcing
Join a forward-thinking company that values innovation and collaboration, where your expertise as a Data Product Manager will be instrumental in shaping cutting-edge digital data products. With a strong emphasis on employee growth, you will benefit from a supportive work culture that encourages continuous learning and professional development, all while enjoying the flexibility of remote work complemented by regular engagement with a vibrant London team. This is an exceptional opportunity to thrive in a dynamic environment that champions creativity and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cadence Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Manager at Cadence Resourcing.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cadence Resourcing.
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We think you need these skills to ace Data Product Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cadence Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cadence Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cadence Resourcing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cadence Resourcing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
