Director/Head of Data & AI (f/m/d)

As Upvest enters the next stage of growth, we are looking for an exceptional Director/Head of Data & AI. You will work closely with Mislav Ilich (Product Director), Roberto Fajardo (SVP Engineering) and Martin Kassing (CEO), owning topics critical to Upvest's product and business success.

Responsibilities

Define and drive a data product strategy that transforms Upvest's data into a competitive differentiator for clients, internal teams, and regulators; Establish a clear vision for how Upvest's data creates value through client-facing insights, internal intelligence, and productised data capabilities embedded within the Investment API; Own the AI product roadmap end-to-end: identifying highest-impact use cases, prioritising ruthlessly and driving them through to production; Deploy LLM-powered tooling for internal operations, build intelligent features into the Investment API, or enable real-time risk and compliance signals; Define the operating model for the Data & AI product function — setting standards for discovery, delivery, and stakeholder alignment across Engineering, Compliance, Risk, Finance, and Product; Attract great talent, coach your team, and create a culture of ownership and high standards; Be the voice of data and AI in product and engineering leadership translating a technical vision into a clear, executable strategy.

Requirements

7+ years in product and data management, with significant experience owning data, analytics, data science or AI products in B2B environments; Proven track record in a regulated fintech, finance, or banking environment, with a deep understanding of API-first SaaS products; Be a sponge! We don't need you to be a trading industry expert. But you will need to quickly absorb complex domains (e.g. data contracts, lakehouse architecture, MLOps) and combine that with your product management expertise; Experience translating AI/ML capabilities including LLMs and ML systems into productised value with measurable ROI; Fluency in modern data stacks: you don't need to build them, but you need to understand what they enable and how to prioritise investment (e.g. Kafka, Spark, Flink, Airflow, Dagster, Lakehouse/Warehouse patterns, MLOps); Demonstrated ability to define and own a data and AI product roadmap with clear business outcomes; Strong command of modern product toolkits: continuous discovery, outcome-focused roadmaps, OKRs, and fast validation cycles; Proven experience creating cross-functional alignment across Engineering, Compliance, Risk, Finance, and senior leadership; Experience building and scaling inclusive, high-performing product or data teams.

Benefits

Best-in-class AI tools: €20,000 per year to spend on AI tools; Work with experts: mission-driven engineering team solving hard problems at the intersection of AI and regulated financial infrastructure; Professional development: annual budget of €1,500 for training; Wellbeing: 30 days annual leave, sports benefits, confidential professional coaching, and flexibility to work remotely abroad up to 183 days a year; Compensation and equity: competitive above-market salary and participation in employee equity program; Flexible work environment; Team celebrations: company-wide events such as UpFest, dinners, offsites and holiday party.