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Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a 'best of both worlds' kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. You are a Player/Coach. You will lead a cross-functional squad (Data Engineers, Analytics Engineers, Analysts) dedicated to a specific business domain (e.g., Marketing, Transactions, or Merchant). Your goal is to treat 'Data as a Product'—moving away from reactive ticket-taking to proactive, governed, and automated insights. You are technically fluent enough to review code, but business-savvy enough to push back on low-value requests.
Job Responsibility:
Squad Leadership: Manage the backlog, capacity, and development of ~5 data professionals
Translate vague business problems into technical specs
Data Product Ownership: Own the end-to-end lifecycle of your domain’s data—from ingestion design (reviewing Engineering plans) to final visualization (Tableau)
Stakeholder Management: Act as the single point of truth for your domain
Negotiate priorities with Business Leaders to ensure the team works on high-ROI tasks
Modernization: Be part of data platform unification project to decommission legacy systems running on Teradata and Hive and go fully to GCP native
Quality & Governance: Enforce best practices on data governance and documentation, ensure metric consistency
If the data breaks, you lead the fix
Requirements:
Leadership: 2+ years managing or mentoring a data team (sprint planning, code reviews, career development)
Technical Fluency: Advanced SQL is mandatory
You can read/debug Python or Airflow DAGs
You understand data modeling (Star Schema, Data Marts) and cloud warehouses (BigQuery)
Business Acumen: You can explain 'Revenue Recognition' or 'Conversion Funnels' to an engineer, and 'ETL Latency' to a Sales Director
Data analytics: Expert-level proficiency in analytics and data visualisation
You know how to design for usability, not just aesthetics
AI first mindset: be a pioneer and lead by example on AI usage for both personal effectiveness (MCPs, N8N, cursor AI or Claude code) as well as AI first solution (text mining, optimisation, innovative solution)
Nice to have:
Experience in e-commerce, marketplaces, or dual-sided platforms
History of implementing 'Self-Service' analytics that actually worked
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