Director of Data – FinTech

D&A   Cologne Permanent

Director of Data – FinTech

Masentó D&A are partnered with one of the most exciting FinTech companies in Germany, helping them with a complete re-modernisation of their IT systems, starting with a greenfield project building a new cloud-based data platform.

The first hire we are looking for will be an experienced manager who enjoys leading across functional teams that will be made up of data scientists, data engineers, QA analysts, ML Ops, product specialists and more.

This will be a strategic role where you will have the opportunity to lead the development of greenfield predictive analytics and insight products to help take serving their customers to the next level. You will lead the team to continuously improve the data infrastructure & data models, solving complex data problems & deploying data science models and solutions in the cloud.

You will report directly to the CTO giving you the power to make quick and agile decisions.

Key responsibilities of the role:

• Happy working hands-on and leading the team to deliver a solution.
• Leading an agile team of 8-10 people composed of data scientists, data engineers, QA analysts, ML Ops, product specialists and more.
• Having the ability to attract, retain, and motivate top talent.
• You start with the client needs and are client focused when it comes to your work.
• You work closely with business stakeholders, client-facing teams, and senior executives
• You work through ambiguity to create clarity for the team with a relentless focus on developing innovative and value-added products and services.
• You reinforce agile best practices and ensure accountability in outcomes and performance
• You easily communicate on strategy and roadmap with Product Management and Functional Leaders

Your background:

• Strong experience of Data Engineering/Data Science/Software Engineering
• Technical management experience
• Proven experience as a leader and coach of technical talent
• Solid understanding of the following technology areas:
• Data and analytics services on the public cloud
• Large-scale data pipelines and event streaming
• Machine Learning
• BI tools
• Querying languages
• Programming languages
• Engineering best practices

If this role sounds interesting to you, please apply for further details surrounding the position and the company. We would welcome applications from candidates with both end user and consultancy backgrounds.