<div> <p><strong>Technical Product Manager (Data Platform)</strong></p> <p><strong>Location</strong>: London</p> <p><strong>Office requirement</strong>: Hybrid, 2x week</p> <p><strong>Employment type</strong>: Permanent</p> <p>At GWI we’re always looking for <strong>extraordinary people</strong> who thrive on making an extraordinary impact. Right now we’re looking for a <strong>Technical Product Manager</strong> to play a key role in our <strong>Data Product team in London</strong>. 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.</p> <br> <h2><strong>Sounds great, what will I be doing? </strong><strong>🤔</strong></h2> <p>As our <strong>Technical Product Manager</strong>, you’ll sit within the Process pillar of the Data Product Team and own the evolution of our next-generation data platform.</p> <p>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.</p> <p>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.</p> <p>Specifically, you will:</p> <p>👉 Shape and execute the roadmap for scalable, automated survey processing on our Data Platform<br>👉 Reduce time from survey completion to client availability through workflow automation, validation frameworks, and release optimisation<br>👉 Lead migration from legacy pipelines to NDP, sequencing change to deliver early impact while maintaining delivery stability<br>👉 Partner deeply with Data Engineering, Software Engineering, ML Engineering, Research, and Data Operations teams to translate complex pipeline needs into robust platform capabilities<br>👉 Champion observability, data quality, lineage, and governance-by-design (including GDPR compliance and consent traceability)<br>👉 Balance technical excellence with commercial impact, ensuring platform investments unlock measurable client and business value</p> <p>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.</p> &lt