Asset & Wealth Management - Product Manager, Applied AI & Data Products - Vice President

Job Responsibilities

• Define and own the product vision, strategy, and multi-quarter roadmap for the assigned portfolio of data products
• Own and prioritize the product backlog; write clear requirements and user stories; partner with engineering and scrum leads on delivery
• Conduct customer and user discovery, define success metrics (KPIs and OKRs), and measure outcomes
• Manage stakeholders across CDAO, the Global Private Bank, and partner teams; communicate trade-offs and progress
• Champion data quality, governance, privacy, and regulatory compliance throughout the product lifecycle
• Bring demonstrated, hands-on experience as a product manager who ships AI- and LLM-powered features and products, including the application of retrieval-augmented generation (RAG) and AI agents
• Use AI and LLM tooling within your own product management workflow to accelerate discovery, requirements definition, prototyping, and delivery
• Partner closely with applied AI and data science teams to operationalize models responsibly, with appropriate controls for quality, safety, privacy, and compliance
• Champion an AI-forward mindset across the portfolio, identifying where intelligent capabilities can meaningfully improve data products and the experiences built on top of them
• Deliver unified data products across multiple core data domains, aligned with the data mesh strategy

Required Qualifications, Capabilities, And Skills

• Financial services experience commensurate with a Vice President level role of 7+ years, in data and analytics, wealth /private banking, related domains
• Demonstrated product management experience delivering data and/or analytics/AI products end to end
• Strong, demonstrated experience building and shipping AI- and LLM-powered products, and fluency using AI and LLM tools within the product management workflow. This is a core requirement of the role
• Familiarity with modern data platforms (Snowflake, Starburst, Databricks) and data product and data mesh concepts
• Strong analytical, communication, and stakeholder management skills, with the ability to lead through influence across engineering pods
• Bachelor's degree required