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RERecare Deutschland GmbH

Head of Data(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
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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.

Requirements

  • 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

Tasks

  • 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

Work Experience

  • 8 - 10 years

Education

  • Compulsory education

Languages

  • German – is a plus

Tools & Technologies

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

Benefits

Flexible Working

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

Parking & Commuter Benefits

  • Berlin office access

Workation & Sabbatical

  • Work abroad

Other Benefits

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

Career Advancement

  • Regular feedback

Mentorship & Coaching

  • Development support

Learning & Development

  • Learning budget

Modern Office

  • Modern setup

Corporate Discounts

  • Edenred card

More Vacation Days

  • Extra day off on birthday
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Recare Deutschland GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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