At a Glance
- Tasks: Lead a team to create innovative data solutions and manage the full lifecycle of data products.
- Company: Join a dynamic company in Birmingham focused on data innovation and collaboration.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge analytics tools.
- Other info: Exciting networking opportunities and a supportive team environment await you.
- Why this job: Make a real impact by transforming business needs into insightful data products.
- Qualifications: Experience with analytics tools and strong product management skills required.
The predicted salary is between 65000 - 65000 £ per year.
I am currently seeking a Data Product Manager based in Birmingham, you will be trusted with guiding a team of skilled professionals through the creation and management of innovative data solutions. Your daily responsibilities will involve collaborating with colleagues across various departments to understand their unique needs and translate them into insightful analytical outputs.
What will you be doing?
- Defining and managing the full lifecycle and roadmap of certified data products such as datasets, semantic models, dashboards, data stories, AI-enabled features, business glossaries, catalogues, and analytics apps.
- Ensuring each data product is thoroughly documented, versioned, and specified to an agent-consumable standard so it is ready for both human and AI consumers.
- Translating diverse business requirements into clear product specifications by managing intake processes, refining backlogs, and prioritising reporting and analytics requests.
- Managing the Data and Insight Team by setting objectives, coordinating workloads, and nurturing strong delivery capability alongside stakeholder engagement skills.
- Overseeing user delivery platforms and tools to empower teams throughout the organisation as well as trusted partners to leverage data as a strategic asset.
What will you need?
- Proven expertise in enterprise deployment and adoption of analytics tools such as Power BI/Fabric, Tableau, Looker or Qlik.
- Practical experience working with AI tools and agents in an analytical context; understanding how data quality tiers, semantic definitions, and lineage affect what AI can reliably reason from is essential.
- Strong analytical skills combined with deep product management knowledge; able to interpret customer business needs effectively into application requirements that provide intuitive outputs.
- Excellent interpersonal skills enabling you to collaborate closely with cross-functional teams while nurturing communal growth within your own department.
- Experience managing intake processes for reporting requests including backlog refinement and prioritisation based on organisational needs.
Data Product Manager in London employer: Robert Walters
Join a leading organisation in the UK property and infrastructure sector as a Legal Director - Construction and Development, where you will be part of a dynamic team that values collaboration and innovation. With a hybrid working model, competitive salary, and opportunities for professional growth, this role offers a unique chance to influence major projects while enjoying a supportive work culture that prioritises employee well-being and development. Located in Cheshire, you will benefit from a vibrant community and access to a wealth of resources in the construction and development field.
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 Robert Walters!
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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 Robert Walters.
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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 Robert Walters, 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 Robert Walters. 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 Robert Walters
✨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 Robert Walters!
✨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.
