At a Glance
- Tasks: Lead the evolution of our next-gen data platform and solve complex technical challenges.
- Company: Join GWI, a dynamic tech company focused on impactful data solutions.
- Benefits: Enjoy 25 days annual leave, health benefits, and flexible working options.
- Other info: Be part of a diverse team that values innovation and inclusivity.
- Why this job: Make a real impact on how data reaches clients and drives business success.
- Qualifications: Experience in product management for data platforms and strong technical fluency required.
The predicted salary is between 56700 - 69300 £ per year.
Location: London
Office requirement: Hybrid, 2x week
Employment type: Permanent
At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Technical Product Manager to play a key role in our Data Product team in London. If that’s you, and solving complex technical problems at scale gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.
Sounds great, what will I be doing?
As our Technical Product Manager, you’ll sit within the Process pillar of the Data Product Team and own the evolution of our next-generation data platform. You’ll help shape the strategy and lead on the execution of how we ingest, process, validate, govern, and deliver high-quality consumer survey data at scale. This includes accelerating our migration from legacy pipelines into our modern data stack (BigQuery, dbt, Airflow/Astronomer), while ensuring near-zero disruption to client delivery. This role is critical to GWI’s future. Our Data Platform underpins everything we deliver to customers — from SaaS insights to APIs and AI integrations. Your work will directly impact how quickly new surveys reach clients, how reliably our data performs at scale, and how efficiently our internal teams operate.
Specifically, you will:
- Shape and execute the roadmap for scalable, automated survey processing on our Data Platform
- Reduce time from survey completion to client availability through workflow automation, validation frameworks, and release optimisation
- Lead migration from legacy pipelines to NDP, sequencing change to deliver early impact while maintaining delivery stability
- Partner deeply with Data Engineering, Software Engineering, ML Engineering, Research, and Data Operations teams to translate complex pipeline needs into robust platform capabilities
- Champion observability, data quality, lineage, and governance-by-design (including GDPR compliance and consent traceability)
- Balance technical excellence with commercial impact, ensuring platform investments unlock measurable client and business value
It’s also fun; we’re modernising core infrastructure in a live, revenue-critical environment. You’ll need to be comfortable making high-stakes prioritisation decisions, navigating legacy complexity, and leading through change as we scale.
What do I need to bring with me?
You’ll need to demonstrate strong product capabilities in technical, data-intensive environments. This is a role with significant architectural and organisational influence. Here’s what the team will be looking for:
- Product management experience in data platforms, data infrastructure, or highly technical B2B environments.
- Strong technical fluency — comfortable discussing data modelling, orchestration (e.g. Airflow), transformation frameworks (e.g. dbt), APIs, and platform architecture trade-offs.
- Experience working with modern data technologies such as Bigquery, Airflow, Astronomer.
- Ability to write technical user stories, with clear technical requirements and data contracts.
- Demonstrable experience working with Data Engineers.
- Confident stakeholder management across engineering, research, operations, and leadership.
- Experience owning or contributing to platform migrations or large-scale architectural evolution is a plus.
Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, exemplified by our leadership team, and they’re a big part of what we’re looking for in you.
What We Offer
- Time to recharge – 25 days’ annual leave, plus office closures over the holidays.
- Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.
- Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.
- Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.
- Career growth – Accredited learning, leadership development, and global career mobility.
- Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.
Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.
Diversity, Equity & Inclusion
Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We're happy to discuss whatever would work best for you. We actively encourage applications from underrepresented and marginalised communities. At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully.
Technical Product Manager (Data Platform) in London employer: Global Web Index
At GWI, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. With a strong focus on employee growth, we provide extensive learning opportunities, flexible working arrangements, and a commitment to diversity and inclusion, ensuring that every team member can thrive both personally and professionally. Located in a dynamic environment, our hybrid work model allows for a balanced lifestyle while contributing to meaningful projects that have a visible impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Product Manager (Data Platform) 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 Global Web Index!
✨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 Technical Product Manager (Data Platform) at Global Web Index.
✨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 Global Web Index.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Product Manager (Data Platform) at Global Web Index, 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 Technical Product Manager (Data Platform) 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 Global Web Index, 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 Global Web Index. 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 Global Web Index
✨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 Global Web Index!
✨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.
