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RERecare Deutschland GmbH

Head of Data(m/w/x)

Berlin
Vollzeitmit HomeofficeSenior
Jetzt bewerben

Defining data strategy and building data teams for a multi-product hospital platform. 8-10 years in data roles, including 3+ years leading teams, required. Remote-first with flexible hours and work abroad options.

Anforderungen

  • 8–10 years in data roles, including 3+ years leading teams
  • Progression from analyst/data scientist to data leadership
  • Strong product analytics background
  • Experience instrumenting products, defining metrics, running experiments, connecting usage to outcomes
  • Experience across multiple products
  • Comfort with commercial metrics (ARR, NRR, churn, expansion) and business growth connection
  • Experience building and growing data teams
  • Judgment on hiring, analyst structure, centralization vs. embedding
  • Strong mentoring, coaching, and development skills
  • Clear opinions on tooling (Looker, Amplitude, Mixpanel, Metabase)
  • Startup or scale-up experience, especially during 10–50M ARR transition
  • Ability to move fast and make practical decisions
  • Comfort in regulated industries (healthcare, fintech, insurance) is a plus
  • AI literacy, including use of AI tools, LLM evaluation, quality scoring, AI data generation
  • Credible partner to AI engineering team without building models
  • English as a working language; German is a nice to have
  • Combines strategy and execution
  • Ability to build function from small start, not needing large team
  • Ability to connect product performance and commercial outcomes
  • Ability to tell clear stories with data, not just produce dashboards
  • Opinionated to improve setup, practical to do in stages
  • Comfort working across product, finance, RevOps, and marketing
  • Interest in overlap between product analytics and AI quality measurement
  • High school coursework
  • Executive experience

Aufgaben

  • Define the company’s data strategy
  • Strengthen success measurement across product teams
  • Build the data team and systems
  • Assess the current data setup
  • Work directly with existing analysts
  • Shape the next stage of the data function
  • Create a clear picture of customer and product success
  • Ensure data supports decision-making
  • Set KPIs and north star metrics
  • Determine what to measure and stop measuring
  • Connect product usage data to business performance
  • Turn data into actionable insights
  • Conduct quarterly business and product reviews
  • Support decision-making with clear data
  • Lead a team of senior product and BI analysts
  • Develop a hiring plan for the data team
  • Grow the data team to 5-6 members
  • Shape data support for product, finance, RevOps, and marketing
  • Decide on analyst allocation and embedding
  • Define the right data tooling stack
  • Lead tool migration if needed
  • Partner with the AI engineering team
  • Evaluate AI output quality
  • Measure non-deterministic AI outputs

Berufserfahrung

  • 8 - 10 Jahre

Ausbildung

  • Pflichtschulabschluss

Sprachen

  • Deutsch – ist ein Plus

Tools & Technologien

  • Looker
  • Amplitude
  • Mixpanel
  • Metabase
  • AI tools
  • LLM

Benefits

Flexibles Arbeiten

  • Remote-first
  • Flexible working hours
  • Flexible work arrangements

Parkplatz & Pendelvorteile

  • Berlin office access

Workation & Sabbatical

  • Work abroad

Sonstige Vorteile

  • Direct impact on patients, hospital teams, and digital healthcare
  • AI as part of everyday work

Karriere- und Weiterentwicklung

  • Regular feedback

Mentoring & Coaching

  • Development support

Weiterbildungsangebote

  • Learning budget

Modernes Büro

  • Modern setup

Mitarbeiterrabatte

  • Edenred card

Mehr Urlaubstage

  • Extra day off on birthday
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Recare Deutschland GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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