About UBP:

Union Bancaire Privée (UBP) is one of Switzerland’s leading global private banks, specialising in wealth and asset management for private and institutional clients. Founded over 50 years ago, UBP has grown to more than USD 240bn in assets under management, making it one of the world’s largest family-owned and family-run banking groups. The bank combines the long-term ownership mindset, independence, and agility of an entrepreneurial organisation with the credibility, resilience, and scale of a global financial institution. UBP serves high-net-worth individuals, family offices, and institutional investors across more than 20 locations worldwide, including London, Geneva, Dubai, Singapore, Hong Kong, and Shanghai. For more information, visit ubp.com.

About the role:

Internal demand for AI at UBP is climbing fast across every division. This role exists to get ahead of that: to build a real AI capability, put the right tools safely into people's hands, and turn scattered experiments into results the business can measure. It is a founding role, with the scope to shape how the bank works with AI for years to come.

As Head of AI Platform, you own AI as a product. Rather than running every use case yourself, you build and manage the enabling platform (the sanctioned tooling, data-classification framework and governance) that lets every division adopt AI quickly and safely within its own data-sensitivity constraints. You set the strategy, prioritise where we invest, and work hand-in-hand with IT, security and compliance to develop and ship real, high-impact solutions across the group while protecting our clients, our people and the bank.

It is a high-visibility role with a direct line to senior leadership the mandate to shape UBP’s AI strategy and the accountability to turn it into demonstrable value across a global bank.

Key responsibilities:

• Strategy & vision: define, align and communicate UBP’s AI vision and strategy, differentiated by division and domain (e.g., Compliance, Asset Management, Relationship Management), and keep it current as the technology evolves.
• Platform & investment: define and prioritise the investments required to stand up and operate the AI platform (model and tools access, deployment options, guardrails and reusable “skills”), working closely with IT and Security to ensure data is handled within UBP’s control.
• Differentiated access by domain: establish a clear user-classification approach so employees receive the right tools for their data access (e.g., domain-appropriate tooling for client-facing teams versus broader capability where only non-confidential data is involved).
• Adoption & enablement: drive bottom-up adoption across divisions through communication, training and enablement.
• Use-case delivery & governance: operate a transparent intake and prioritisation process for high-impact use cases (scored on impact, effort and risk), bring forward funded business cases and proofs-of-concept, and support an AI Platform Steering Committee for alignment and budget decisions.
• Stakeholder management: act as the connective tissue between the business, IT, security, Compliance and management, leading through influence and clear prioritisation.