Technical Product Manager (Data Platform)

<p><strong>Technical Product Manager (Data Platform)</strong></p> <p><strong>Location</strong>: Athens</p> <p><strong>Weekly office requirement</strong>: Hybrid, 1 days/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> <p>&nbsp;</p> <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>👉 Product management experience in data platforms, data infrastructure, or highly technical B2B environments.<br>👉 Strong technical fluency — comfortable discussing data modelling, orchestration (e.g. Airflow), transformation frameworks (e.g. dbt), APIs, and platform architecture trade-offs.<br>👉 Experience working with modern data technologies such as Bigquery, Airflow, Astronomer.<br>👉 Ability to write technical user stories, with clear technical requirements and data contracts.<br>👉 Demonstrable experience working with Data Engineers.</p> <p>👉Confident stakeholder management across engineering, research, operations, and leadership.</p> <p>👉 Experience owning or contributing to platform migrations or large-scale architectural evolution is a plus.</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> <h2><strong>What do I need to bring with me? </strong><strong>🧳</strong></h2> <p>You’ll need to demonstrate strong product capabilities in technical, data-intensive environments. This is a role with significant architectural and organisational influence.</p> <p>Here’s what the team will be looking for:</p> <p>👉 Product management experience in data platforms, data infrastructure, or highly technical B2B environments.<br>👉 Strong technical fluency — comfortable discussing data modelling, orchestration (e.g. Airflow), transformation frameworks (e.g. dbt), APIs, and platform architecture trade-offs.<br>👉 Deep understanding of data quality, observability, governance, lineage, and compliance considerations (GDPR experience highly valued).<br>👉 Ability to define clear data contracts and scalable patterns rather than one-off solutions.<br>👉 Confident stakeholder management across engineering, research, operations, and leadership.</p> <p>&nbsp;👉 Experience owning or contributing to platform migrations or large-scale architectural evolution is a plus.</p> <p>Equally important is <strong>attitude</strong>. We want people who <strong>think big</strong> (to make an impact), <strong>ask why</strong> (to find a better way), and <strong>show respect</strong> (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.</p> <h1>What We Offer 🧘</h1> <p>At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:</p> <ul> <li>Time to recharge – 25 days’ annual leave and office closures over the holidays.</li> <li>Health &amp; wellbeing – Private insurance for you and your family, plus mental and physical wellbeing support.</li> <li>Financial benefits – Competitive salary, reward and recognition programs, and payroll giving options.</li> <li>Flexibility &amp; balance – Flexitime, early Friday finishes, work-from-anywhere freedom, and a “work from home” budget.</li> <li>Family first – Enhanced parental leave and carer days so you can prioritise what matters most.</li> <li>Career growth – Accredited learning, a generous training budget, and a fully paid international conference each year for Engineering and Data Science roles.</li> <li>Community &amp; impact – DE&amp;I committee, volunteering opportunities, 100% donation matching, and ways to give back locally.</li> <li>Extra perks – Mobile phone contract and restaurant ticket options for added convenience.</li> </ul> <h1><br>Diversity, Equity &amp; Inclusion 🫶</h1> <p>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.</p> <p>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.</p> <p>We actively encourage applications from underrepresented and marginalised communities.</p> <p>At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully.</p> <p>&nbsp;</p> <p><iframe src="https://www.youtube.com/embed/Nei-YULhPiA" width="560" height="314"></iframe></p> <p><br>#li-hybrid<br>#LI-VS1</p>

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