Global Private Bank, Technical AI Product Manager, AI & Innovation, Vice President
About The Position
The Global Private Bank is seeking a technical AI product leader to join its AI & Innovation team. This hands-on builder and product leader will design and build AI prototypes, determine which ideas are worth scaling, and own product outcomes through the Labs-to-Products transition and beyond. Working across AI engineering, data science, and product management, the role partners with advisors, product teams, and technology and control partners to turn emerging AI capabilities into solutions that create measurable value for clients and the firm. The role combines hands-on development with end-to-end product ownership. It involves experimenting with foundation models, agentic systems, context engineering, orchestration, and AI-assisted development, then turning promising capabilities into working solutions for advisors and clients. Solutions are evaluated for accuracy, reliability, risk, user experience, and business value, with security, privacy, data quality, auditability, and regulatory requirements addressed throughout development.
Requirements
- Significant experience building AI or data-driven products and owning outcomes from discovery and prototyping through delivery.
- Strong Python development skills and hands-on fluency with large language models, AI agents, tool use, orchestration patterns, retrieval systems, and context engineering.
- Experience building agentic systems that use tools reliably, with guardrails, observability, and human-in-the-loop controls appropriate for a regulated environment.
- Experience working with APIs, structured and unstructured data, and modern AI application architectures.
- Background in AI engineering, data science, software engineering, or a related technical field, paired with the ability to set product priorities and make business-led trade-offs.
- Demonstrated ability to prototype quickly, test assumptions rigorously, and use AI-assisted coding tools effectively.
- Experience designing evaluations and using evidence to assess technical performance, risk, user experience, and potential business value.
- Strong communication and stakeholder-management skills, including explaining complex technical concepts to senior leaders and translating business needs into actionable requirements for engineers.
- Sound judgment in complex environments, with an understanding of data, technology, operational risk, and control requirements.
Nice To Haves
- Experience in private banking, wealth management, financial services, or another regulated environment.
- Experience moving AI prototypes into production in partnership with engineering, product, architecture, and control teams.
- Familiarity with advisor workflows and opportunities to improve how advisors serve clients.
- Experience with multi-agent systems, agentic coding workflows, or other advanced AI development patterns.
- Demonstrated ability to connect emerging AI capabilities to measurable improvements in productivity, client outcomes, or operating efficiency.
Responsibilities
- Design, code, and build end-to-end AI prototypes, covering data and technical architecture, agentic workflows, orchestration, evaluation, and working demonstrations.
- Partner with advisors and business teams to identify high-value problems, translate them into technical solutions, and articulate the business case for investment.
- Own product vision, priorities, and deliverables for AI innovation initiatives, balancing rapid experimentation with a path to scalable products.
- Define and run evaluations of solution accuracy, reliability, risk, user experience, and business value before broader deployment.
- Work with Technology, Architecture, Data, Cybersecurity, and Controls to address security, privacy, data quality, auditability, and regulatory requirements throughout development.
- Own product outcomes through the Labs-to-Products transition by documenting findings, resolving dependencies, and establishing ownership and success measures with teams responsible for scaling solutions.
- Communicate technical results and trade-offs to senior business leaders and translate business needs into actionable requirements for engineering partners.
- Experiment with foundation models, agentic systems, context engineering, orchestration, and AI-assisted development, and turn promising capabilities into working solutions for advisors and clients.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
