Job
- Level
- Lead
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Full Remote, Onsite
Job Summary
In this role, you will develop the data strategy, enhance success measurement, and build a team while directly collaborating with existing analysts to make data actionable for strategic decision-making.
Job Technologies
Your role in the team
- At Recare, we are building a multi-product hospital platform, and the data function needs to grow with it.
- Today, the team consists of a senior product analyst, a BI analyst who is still being onboarded, and a collection of Looker dashboards at various stages of usefulness.
- As the company scales, we need a much stronger foundation for understanding what is working, where we are winning, and how product performance connects to commercial outcomes.
- As Head of Data, you will lead the data function at Recare.
- You will define the company's data strategy, strengthen how success is measured across product teams and the broader business, and build the team and systems needed to make data more useful for decisions.
- This is a leadership role, but not a hands-off one.
- You will join a small team, assess the current setup, work directly with the existing analysts, and help shape the next stage of the function.
- Over time, the role will shift further towards team building, structure, and strategic direction as the organisation grows.
- You will sit in Product, report to the Director of Product, and work in a hub-and-spoke model with a central data team serving teams across the business.
- You will help Recare answer a fundamental question: are we winning?
- That means creating a clearer picture of whether we are winning customers, building winning products, and growing in the right markets.
- Today, parts of that picture exist, but they are incomplete and disconnected.
- You will help make it clear, connected, and actionable.
- You will define where Recare's data function is today, where it needs to be, and how to get there.
- That includes setting clear KPIs and north star metrics for product teams and product groups, building a strong point of view on what to measure and what to stop measuring, and making sure data supports decision-making rather than becoming decoration.
- You will help connect product usage data to business performance.
- Today, metrics such as ARR, NRR, adoption, retention, and expansion live in different systems, and the links between them are not always clear.
- You will help build the connective tissue between product performance and commercial outcomes.
- You will help turn data into something the organisation can act on.
- That includes quarterly business reviews, product reviews, and other decision-making moments where teams need a clear view of whether strategy is working, whether bets are paying off, and what the numbers are actually saying.
- You will lead a team that today consists of a senior product analyst and a BI analyst.
- You will assess the current setup, work hands-on with the team from day one, and help grow the function over time.
- The expectation is that by month 6, you will have a hiring plan in motion, and by month 12, the team should be on a path towards serving the broader business with a team of 5-6.
- You will help shape how data supports teams across product, finance, RevOps, and marketing.
- This includes deciding how analysts should be allocated and embedded across the business within the hub-and-spoke model, rather than thinking of data as serving product alone.
- You will bring a point of view on the right tooling for a company at this stage.
- Recare uses Looker today, but not yet in a way that fully supports scale.
- Datadog is used on the engineering side.
- You will help define the right stack going forward and lead a migration if needed.
- This role requires judgment about when product analytics platforms are more useful than general BI tools, and vice versa.
- You will be a close partner to the AI engineering team, while not owning AI engineering or the ML pipeline.
- There is an important grey zone between product analytics and AI quality measurement.
- For example, measuring whether products like Voice Desktop are actually saving clinicians time sits partly in product analytics and partly in AI output quality.
- You will need to understand evaluation, quality measurement, and how to think about non-deterministic AI outputs in partnership with the AI engineering team.
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Our expectations of you
Qualifications
- Progression from analyst or data scientist into data leadership.
- A strong product analytics background.
- Comfort with commercial metrics such as ARR, NRR, churn, and expansion, and how product data connects to business growth.
- Judgment about what to hire first, how to structure analysts across teams, and when to centralise versus embed.
- Strong mentoring, coaching, and development skills for junior and mid-level analysts.
- Klare Meinungen zu Tooling, einschließlich der Abwägungen zwischen Tools wie Looker, Amplitude, Mixpanel und Metabase.
- The ability to move fast and make practical decisions without overbuilding.
- Comfort working in regulated industries such as healthcare, fintech, insurance, or similar is a plus.
- AI literacy, including use of AI tools in day-to-day work and familiarity with LLM evaluation, quality scoring, and how AI products generate and transform data.
- The ability to be a credible partner to the AI engineering team without being responsible for building models.
- English as a working language; German is a nice to have, not a requirement.
Experience
- 8-10 years in data roles, including at least 3 years leading teams.
- Experience instrumenting products, defining meaningful metrics, running experiments, and connecting usage patterns to outcomes.
- Experience doing this across multiple products, not just one.
- Experience building and growing a data team from a small starting point into a stronger data organisation.
- Startup or scale-up experience, especially in a company going through the 10-50M ARR transition.
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What we offer
- Purposeful work - your work has a direct impact on patients, hospital teams, and digital healthcare.
- Remote-first and flexible work - Recare works remote-first, with flexible working hours and Berlin office access.
- Workations and flexibility - depending on setup and agreement, Recare supports flexible work arrangements and time working abroad.
- Learning & development - regular feedback, development support, and a learning budget.
- Tools and hardware - a modern setup and AI as part of everyday work.
- Additional benefits - including an Edenred card and an extra day off on your birthday.
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Topics that you deal with on the job
Job Locations
This is your employer
Recare Deutschland GmbH
Recare Deutschland GmbH is a modern health tech startup based in Berlin that offers a digital platform for connecting hospitals, nursing, and rehabilitation facilities. The company optimizes administrative processes and enhances collaboration along the care chain through AI-supported workflows, particularly in discharge management. With a platform that integrates many acute hospitals and rehabilitation clinics, Recare contributes to increasing efficiency in healthcare.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Onsite
- Industry
- Healthcare, Social Sector
Head of Data
- Location
- Berlin
- Working Model
- Full Remote, Onsite
- Diversity
- Open for all genders
