Data Management Product Manager in London

Data Management Product Manager in London

London Full-Time Home office (partial)
BLINK

At a Glance

  • Tasks: Lead the data squad and shape the future of our data product, BlinkIQ.
  • Company: Join a global tech company transforming communication for frontline organisations.
  • Benefits: Competitive salary, 25 days' leave, private healthcare, and social events.
  • Other info: Collaborative culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact by driving data innovation in a dynamic environment.
  • Qualifications: Proven experience in data products and strong technical fluency.

We're not just closing the digital divide; we're reconnecting distributed organisations, enabling seamless communication, and re-engaging employees like never before. With teams in Boston, London, and Sydney, we're making waves worldwide, partnering with industry leaders like Domino's, JD Sports and McDonald's.

We're looking for a Senior Product Manager to lead our data squad and own the future of BlinkIQ — our data and analytics product for frontline organisations. This is a role for someone who thinks in data products, not just analytics. You'll own the roadmap for BlinkIQ, act as Blink's internal expert on how data is built, sold, priced, and used, and shape how data flows through the rest of our product to make the core Blink experience smarter for our customers and their employees.

You'll partner closely with engineering, data, design, and go-to-market teams — and you'll be the person the wider company turns to when the question is 'how do we do this with data?'

  • Commercial and pricing strategy: Work with commercial teams to understand what customers will pay for, where value sits, and how pricing should evolve as the product matures.
  • Data subject matter expertise: Be the person at Blink who understands how customers should use data, how they actually use it, and where the gap lies. Act as the data champion internally — helping the wider org build data fluency.
  • Data infrastructure and technical direction: Hold a clear point of view on the state of Blink's data infrastructure and what it needs to become to support our product ambitions. Work closely with engineering and data teams to make the right infrastructure investments at the right time.
  • Data in the core product: Use data to make Blink itself smarter — nudges, recommendations, personalisation, insights surfaced in-context. Partner with other PMs to identify where data can meaningfully improve the core experience, and lead the work to make it happen.

Manage expectations and trade-offs when priorities shift. Own positioning, enablement, and adoption for what your squad ships.

  • Proven experience owning a data, analytics, or BI product — not just using data as an input to other product work
  • Strong technical fluency in data: comfortable discussing pipelines, models, warehousing, and infrastructure trade-offs with engineering teams
  • Track record of shaping data product strategy, pricing, and packaging in a commercial context
  • Track record of launching data or analytics features to market, including go-to-market and driving adoption
  • Ability to act as an internal SME — enabling and educating non-data teams on how to sell, use, and think about data
  • Experience with data products for frontline, deskless, or operationally-focused organisations
  • Experience shaping data infrastructure evolution alongside engineering leadership
  • Experience embedding data-driven features (nudges, recommendations, personalisation) into a core product experience

We value and respect individual differences, so all applications will receive fair and equal consideration without regard to ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability or age.

Data Management Product Manager in London employer: BLINK

At Blink, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and personal growth. Our Graduate Software Developer Programme provides hands-on experience and mentorship, allowing you to contribute to impactful projects while working alongside talented professionals in our vibrant London office. With competitive benefits, flexible working arrangements, and a clear path to permanent employment, we are dedicated to supporting your career journey in a mission-driven tech environment.

BLINK

Contact Details:

BLINK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Management 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 BLINK!

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 Management Product Manager at BLINK.

Leverage Professional Networks

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 BLINK.

Apply Directly through Our Website

When you find a suitable opening like Data Management Product Manager at BLINK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Management Product Manager in London

Data Product Management
Data Analytics
Commercial Strategy
Pricing Strategy
Data Infrastructure Knowledge
Technical Fluency in Data Pipelines
Data Warehousing

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 BLINK, 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 BLINK. 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 BLINK

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 BLINK!

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.