Join the Global Investment Bank Digital (GIBD), the AI-driven digital innovation hub covering ECM, DCM, and M&A. We’re seeking a Product/Project Manager reporting into the AIML team, to coordinate the deployment, adoption, and optimization of our AI solutions across the bank to transform how investment bankers operate.

As a Product Manager you will be part of a fast-moving, high-impact team that collaborates across technical, business, and compliance functions to create cutting-edge AI tools for investment banking. You’ll play a pivotal role in ensuring our AI models deliver measurable value while meeting regulatory and user requirements.

Job responsibilities

Coordinate between bankers, technical teams, AI/ML engineers, and business development teams to align priorities and ensure effective communication. Act as a bridge between technical outputs and banker requirements, ensuring solutions meet business needs. Gather feedback from bankers and other end-users to refine AI model outputs, ensuring they are actionable and user-friendly. Track the progress of multiple AI models from ideation to deployment using tools like Kanban boards to maintain visibility and ensure on-time delivery.Work with the Data Usage Council and Model Risk Governance boards to navigate internal compliance and approval processes for AI models. Ensure that all outputs adhere to regulatory and internal standards. Interpret and refine AI model outputs to deliver insights in consumable formats for bankers. Proactively identify opportunities for improvement in model functionality or user experience. Develop a cohesive team structure to streamline coordination across projects and functions. Implement robust tracking and observability tools to monitor project performance and resource allocation. Maintain alignment across technical, compliance, and business development teams to deliver impactful solutions. Facilitate training and onboarding sessions for end-users to maximize adoption of AI tools. Identify gaps or new opportunities in existing workflows where AI/ML solutions could drive additional value. Collaborate with the AIML team to explore innovative use cases for AI in investment banking.

 Required qualifications, capabilities, and skills

Proven experience in Product management, project management, or operations within technology or financial services. Experience working in or alongside investment banking teams is a strong advantage. Proficiency with project tracking tools (e.g., Jira, Trello, or Kanban boards). Exceptional organizational and multitasking abilities, capable of managing multiple projects and stakeholders simultaneously. Clear and concise communication skills, with the ability to translate technical outputs into actionable insights for non-technical users. Strong problem-solving skills and adaptability in a fast-paced environment. Collaborative mindset, with a passion for building connections and driving alignment across diverse teams.

Preferred qualifications, capabilities, and skills

Familiarity with AI/ML concepts and their application in business settings. Familiarity with data analytics tools and processes is a plus, though not mandatory.