Head of AI & Data Infrastructure
Financial data across wealth and asset management is fragmented among thousands of data sources, custodians, jurisdictions, asset classes, currencies, and proprietary formats. Making this data globally accessible, trusted, standardized, usable, and consumable by AI models is one of the defining infrastructure and engineering challenges of our time - and that's exactly what we're solving.
Our mission is to build the global standard for making financial data accessible, trusted, usable, and actionable for humans, AI, and autonomous systems.
By connecting to custodians and financial data sources globally, we transform fragmented financial data into trusted, standardized, and token-efficient financial objects that AI models and intelligent applications can reliably understand and consume.
We're looking for an exceptional AI Engineering Leader to help make that happen.
This isn't about building another chatbot or standalone AI application. It's about building the intelligence behind global financial data infrastructure.
You're joining at a pivotal moment!
We are building the next chapter of our company.
This is a rare opportunity to shape our architecture, AI capabilities, engineering culture, and long-term technology direction.
Working closely with the CEO and executive leadership, you'll build AI capabilities across the entire financial data lifecycle while creating and leading a world-class AI & Data Engineering team.
You'll collaborate with colleagues across our offices in the United States, Switzerland, Poland, and Singapore.
What You'll build
You will:
- Define and execute the company's AI strategy and roadmap aligned with business objectives.
- Design and scale AI capabilities across our global financial data infrastructure and data lifecycle, including data connectivity, acquisition, normalization, reconciliation, validation, enrichment, and the definition of standardized AI-ready financial data object models.
- Own the architecture and delivery of our AI & Data Infrastructure - from experimentation and production deployment to monitoring and continuous improvement.
- Establish AI architecture, MLOps, governance, security, and engineering standards suitable for a regulated financial environment.
- Build, mentor, and scale a high-performing AI & Data Engineering team.
We're not looking for someone to manage AI - we're looking for someone to build it.
You're a builder first and a leader second. You enjoy solving complex engineering problems, think from first principles, take ownership, and know how to translate ambitious ideas into production-ready technology.
We are seeking an exceptional, high-caliber engineering leader who thrives on solving difficult problems and building technologies that have not been built before.
You combine strong technical expertise with product thinking and the ability to build high-performing engineering teams.
What success looks like?
Within your first months, you will:
- Define and launch the company's AI strategy and execution roadmap for building a global financial data infrastructure and market standard.
- Deliver production-ready AI capabilities with measurable customer and business impact.
- Establish the AI development lifecycle, including MLOps, governance, evaluation, monitoring, and KPIs.
- Build the foundation of a high-performing AI and data infrastructure engineering team.
- 5+ years of experience building AI and data infrastructure systems, software, data platforms, or cloud infrastructure, including 2+ years leading engineering teams or organizations.
- Proven experience designing and delivering production-grade AI and data solutions, including LLM applications, AI agents, RAG architectures, orchestration frameworks, and intelligent automation.
- Strong understanding of modern data architectures, distributed systems, cloud-native engineering, APIs, and backend technologies (Python).
- Practical experience with MLOps, Azure (or another major cloud platform), Kubernetes, CI/CD, Infrastructure as Code, and observability.
- Strong leadership, communication, stakeholder management, and product mindset.
- Experience in financial data, FinTech, WealthTech, wealth management, asset management, or another highly regulated industry.
- Experience building AI-native data infrastructure platforms or large-scale data integration systems.
- Knowledge of AI governance, security, privacy, auditability, and standards such as ISO 27001 or SOC 2.
- Mission before ego.
- Builders over managers.
- Small, elite teams.
- Speed over bureaucracy.
- Ownership and accountability.
- The best idea wins - not the highest title.
This is a unique opportunity to build something from the ground up, work directly with the CEO and executive leadership, and have a lasting impact on the technology, product, and organization.