Lead Data & AI (m/w/d) - Fintech/Berlin
About us
At Match on Monday, we support a fast-growing, digitally driven fintech software company operating a complex, business-critical platform in a regulated environment. Flat hierarchies, agile collaboration, and a strong commitment to diversity and equal opportunity are part of the culture.
Tasks
Team Leadership & Data/AI Strategy
Lead a team of Data/Analytics Engineers and AI/ML Engineers (people leadership and technical guidance)
Mentor and coach team members, enabling growth, ownership, and best practices
Play a central role in shaping and executing the company’s Data & AI strategy, including company-wide adoption
Deliver measurable business impact through data-driven solutions and AI-supported decision-making
GenAI/ML Use Cases & Product Collaboration
Manage the implementation of machine learning and GenAI use cases (including LLM- and RAG-based approaches)
Build AI and data capabilities in close collaboration with product development teams
Own the end-to-end delivery from consumer requirements to consumable data and AI products
Platform, Infrastructure & Operations
Design, build, and maintain the technical AI and machine learning infrastructure (cloud-based)
Own the technical implementation, operations, maintenance, and continuous improvement of your team’s components
Deliver efficient data and AI pipelines, including deployment, monitoring, and quality assurance
Manage data access, platform security, and compliant data processing
Governance, Security & External Tool Integration
Develop and integrate data governance tooling (e.g., automated data deletion, consent/tracking management)
Lead technical integration of selected external data/AI tools (including marketing-related contexts)
Ensure compliance with regulatory requirements and data protection standards
Stakeholder Management
Work closely with data consumers across the company (e.g., leadership, product, marketing, finance, customer support, operations)
Translate business needs into robust, scalable data and AI solutions
Profile
Profile
Degree in a technical field (e.g., Computer Science, Information Systems, Natural Sciences) or equivalent experience
Strong expertise in modern AI use cases, agent-based applications, and best practices
Deep knowledge of machine learning, generative AI, LLMs & RAG, AI agents, and relevant technical toolchains (e.g., LLM APIs, orchestration frameworks, observability/tracing)
Excellent Python and SQL skills (Java is a plus)
Solid experience with modern cloud-based AI platforms and infrastructure (public cloud environments)
Familiarity with common web analytics, tag management, and BI/reporting tools is a plus
Strong software engineering foundation: requirements, version control, CI/CD, testing, deployment, and monitoring for data pipelines and services
Understanding of data/AI security, privacy requirements, and data protection regulations
Strong people and stakeholder skills, proactive mindset, solution orientation, high ownership
Excellent communication and presentation skills in English (German is a plus)
Note: If you don’t meet every single requirement, we still encourage you to apply — learning mindset, ownership, and role fit matter most.
What we offer
A key leadership role with high visibility at the intersection of business, data, and technology
Real impact through product-facing GenAI initiatives and internal efficiency improvements
Growth environment with strong development opportunities and room to take ownership
Flat hierarchies, agile ways of working, and strong team cohesion
A modern office in Berlin
A culture that actively supports diversity and equal opportunity
The stability of a financially strong group combined with a personal, collaborative atmosphere