GWI Logo

GWI

Technical Product Manager (Data Platform)

Posted 4 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Athens
Mid level
Remote
Hiring Remotely in Athens
Mid level
Lead the roadmap and execution for a next-generation data platform: migrate legacy pipelines to a modern stack, automate survey ingestion/validation, champion data quality/lineage/governance (GDPR), and partner with engineering, ML, research, and ops to deliver reliable, scalable data products for customers.
The summary above was generated by AI

Technical Product Manager (Data Platform)

Location: Athens

Weekly office requirement: Hybrid, 1 days/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.
👉 Deep understanding of data quality, observability, governance, lineage, and compliance considerations (GDPR experience highly valued).
👉 Ability to define clear data contracts and scalable patterns rather than one-off solutions.
👉 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 🧘

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

  • Time to recharge – 25 days’ annual leave and office closures over the holidays.
  • Health & wellbeing – Private insurance for you and your family, plus mental and physical wellbeing support.
  • Financial benefits – Competitive salary, reward and recognition programs, and payroll giving options.
  • Flexibility & balance – Flexitime, early Friday finishes, work-from-anywhere freedom, and a “work from home” budget.
  • Family first – Enhanced parental leave and carer days so you can prioritise what matters most.
  • Career growth – Accredited learning, a generous training budget, and a fully paid international conference each year for Engineering and Data Science roles.
  • Community & impact – DE&I committee, volunteering opportunities, 100% donation matching, and ways to give back locally.
  • Extra perks – Mobile phone contract and restaurant ticket options for added convenience.

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.


#li-hybrid
#LI-VS1

Similar Jobs

Junior
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead end-to-end recruitment for Experienced Hires across Greece and Central Europe. Partner with hiring managers to define requirements, source and assess candidates, manage candidate experience, build talent pools, and drive continuous improvement with TA leads and coordinators.
Top Skills: ExcelMS OfficePhenomWorkday
3 Days Ago
Remote
Senior level
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Serve as the primary on-site customer-facing lead for Shield AI aircraft in Greece, managing integration, issue triage, cross-functional coordination, sustainment planning, logistics, and long-term customer adoption. Build trusted relationships, track customer health metrics, resolve technical and operational issues, and advocate field needs into product and sustainment priorities to ensure mission readiness and sustained use.
Top Skills: CRMGroup 3-5 UasHivemindIssue Tracking ToolsLogistics And Sustainment ToolsV-BatX-Bat
3 Days Ago
In-Office or Remote
Mid level
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Account Executive will build a sales pipeline in the German markets, work with cross-functional teams, and maintain stakeholder relationships to drive sales and manage accounts for Deepgram's voice AI platform.
Top Skills: AISales TechnologySpeech-To-SpeechSpeech-To-TextText-To-SpeechVoice Ai

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account