Head of Data Collection (m/f/d)

Statista
Hamburg, Berlin
Workplace: HybridFull timeFunction: Administration & Executive AssistanceSkills: ["Leadership","Stakeholder management","Communication","Negotiation","Operator mindset"]

Lead Statista’s newest Data Collection production line within Data Production. You will build a workflow spanning source identification and unlocking, source exploration, and scalable extraction and ingestion via partner dumps, scraping, and APIs. Drive strategy, roadmap, and KPI performance around volume, coverage breadth, and cost efficiency, while steering three sub-teams and collaborating with Data Engineering and downstream product teams to deliver harmonized, customer-valuable third-party data at scale.

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FursaFursa
Statista
Statista
3 days ago

Head of Data Collection (m/f/d)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Lead Statista’s newest Data Collection production line within Data Production. You will build a workflow spanning source identification and unlocking, source exploration, and scalable extraction and ingestion via partner dumps, scraping, and APIs. Drive strategy, roadmap, and KPI performance around volume, coverage breadth, and cost efficiency, while steering three sub-teams and collaborating with Data Engineering and downstream product teams to deliver harmonized, customer-valuable third-party data at scale.
Location: Hamburg, Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Director level

Key Responsibilities

  • •Build and lead the Data Collection production line workflow: source identification & unlocking, source exploration, and source extraction & ingestion with three sub-teams.
  • •Own the Data Collection roadmap and strategy as a key volume driver for the data portfolio, including shifting focus toward exclusive partner data via revenue-share models.
  • •Steer production operationally using KPIs for volume, breadth of coverage, and cost efficiency, ensuring transparency over sources, pipelines, and output.
  • •Drive automation and AI adoption across the collection workflow, including intelligent extraction, LLM-based structuring and harmonization, and automated quality assurance.
  • •Handle the partner and commercial dimension end-to-end, from outreach and qualification to contractual agreements that unlock data access.

Pay and Benefits

Perks:Remote WorkGym Membership

Key Requirements

  • •5+ years of experience in data operations, data partnerships, data engineering, or a data-centric business, with a proven track record of leading teams.
  • •Experience collecting, structuring, or commercializing third-party data at scale (e.g., scraping/API-based operations, data partnerships, or licensing models).
  • •Ability to produce and think about data as a product, understanding users, value, and how the data is used.
  • •A track record of steering operations via KPIs for volume, coverage, and efficiency.
  • •Solid technical grounding to discuss scraping, APIs, ingestion pipelines, and data structuring credibly with engineers (hands-on Python/SQL is a plus).
Experience:Data operationsData partnershipsData engineeringData-centric business
Skills:LeadershipStakeholder managementCommunicationNegotiationOperator mindset
Languages:English
Tech Stack:APIsScrapingIngestion pipelinesData structuringPythonSQLLLMAI

Company Brief

Statista
Operates an online statistics portal providing market and consumer data, industry reports, and infographics. Serves businesses, researchers, and media with aggregated statistics and insights across global industries and topics.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Hamburg, Germany
Founded: 2007
WebsiteLinkedIn