We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world’s largest bank.
As a Product Portfolio Operations Manager in Corporate and Investment Banking operations team, you will leverage your AI and leadership expertise to set strategy and lead researchers, engineers, and designers building agentic AI pipelines and orchestrations to automate bank operations and workflows.
The AI team for Corporate and Investment Banking operations is transforming the bank by leveraging the latest advancements in agentic AI and LLMs. This is a high-visibility role, positioned at the intersection of product strategy, AI development, and enterprise-level operational workflows.
Job responsibilitiesIdentifies and champions AI solutions that elevate key business metrics and create new growth opportunities.Converts user and business needs into clear strategies and actionable requirements.Develops and manages Roadmaps and PRDs, ensuring alignment with business goals.Lead a project team of engineers, designers, analysts, and front-office business leads through technical and non-technical decisions all the way to launch.Confidently present product vision and strategy, drive cross-company alignment, and secure buy-in from senior leadershipWorks across products to help ensure delivery against business objectives while coordinating reporting and communications plans for portfolio management operations and change initiativesEnables operational efficiency by supporting training, maturation, needs assessments, and continuous improvement practicesDrives adaptation and modification of our product-line framework to ensure cross-product priorities, sequencing, and trade-offs are realizedImplements a product-level collection strategy consisting of controls, financials, and resourcing needsRequired qualifications, capabilities, and skills5+ years of experience or equivalent expertise in program management or performance optimizationProven ability to manage and implement operational effectiveness initiativesProven ability to operate within the product development life cycle and agile methodologies Bachelor’s degree or equivalent practical experience2+ years of experience in a company with strong product management cultureExperience driving the full product lifecycle for products, writing product documents, and leading tech teams from idea to alignment and through execution and launchFamiliarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks Preferred qualifications, capabilities, and skillsAdvanced degree in Computer Science, engineering, or related field.Experience defining robust evaluation sets and leading teams through quantitative and qualitative evaluations and iterations to achieve reliable, high-quality delivery.Proven track record of delivering and launching successful products at scale.Experience leading tech transformation for large digital operations.Experience leading product development in highly complex, large-scale back-end environments.