Moonfare

FinTech

DirectorofData

€120–170k ~AI est. Berlin, Germany Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Director of Data at Moonfare”

Industry & Context.

FinTech
Problems you'll solve

Root cause analysis; Troubleshooting

How You'll Work.

Team & Collaboration

Cross-functional teams; Partner with Engineering; Partner with Product; Partner with business

Communication Scope

Executive presentations; Board-level reporting

Process & Methodology

Data strategy, Roadmap planning

Full Job Description

Director of Data (m/f/d) Reporting to the CTO, you will own the data strategy and execution for Moonfare at a pivotal moment in our growth. We are building the infrastructure and intelligence layer that will power how we serve investors, operate as a business, and scale into new markets, and data is the foundation everything else depends on. You will inherit a capable team and a real mandate: to bring it together, raise the bar, and build a data function that is fit for where Moonfare is going, not just where it has been. The role demands someone who can hold the strategic vision and get into the technical detail, knowing when to lead from the front and when to elevate the people around them. In return, you get a rare scope, shaping how a fast-growing private equity platform thinks about, structures, and activates its data from the ground up. This role sits at the intersection of Engineering, Product, and the wider business, leading our combined Data Engineering and Analytics function. The team is 6 people across pipelines, analytics, and architecture who will come together under your leadership into one cohesive function with a shared mission. The team's work underpins how Moonfare makes decisions, serves its investors, and builds towards an AI-driven operating model, making this one of the highest-leverage functions in the business. You will: Define and execute the data strategy for Moonfare, building the platforms, pipelines, and governance that give the business a reliable, scalable, and intelligent data foundation to grow on. Bring 6 people across data engineering, analytics, and architecture into one cohesive team, setting the operating model, rituals, and standards that make the function more than the sum of its parts. Architect and build the infrastructure that sources, structures, and serves data across investment, investor relations, operations, and compliance use cases. Partner closely with Engineering and Product to make data the substrate that our AI an

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