AI Product Owner

Overview We’re looking for a driven and visionary AI Product Owner to help shape the future of banking through artificial intelligence. This role sits at the heart of our Corporate and Institutional Banking (CIB) transformation, where AI is becoming a core enabler for smarter decisions, better client engagement, and operational excellence. You’ll support the CIB AI Chief Product Owner and lead the end-to-end delivery of AI use cases—from early-stage exploration to full-scale deployment—working closely with data scientists, ML engineers, service designers, and business leaders. Why This Role Matters AI at the Core of Strategy: You will help drive the next phase of CIB’s AI strategy, delivering AI solutions with real impact on revenue growth, efficiency gains, and client satisfaction. Build the Next-Gen AI Stack: You\'ll contribute to a modern, AI-native product delivery approach, shaping scalable architecture and reusable solution patterns. Cross-Disciplinary Exposure: You’ll be at the intersection of data science, tech, design, and business—developing rare and highly valuable skill sets. Growth & Innovation: This is an opportunity to scale emerging AI use cases into production and be a key part of a forward-looking transformation journey in financial services. Responsibilities Processes Manage end-to-end AI product lifecycle: Lead the end-to-end delivery of AI use cases—from ideation and business validation to production deployment—ensuring scalability, compliance, and impact. User-Centric Product Design: Ensure AI products are designed with a strong focus on seamless client and employee user experience. Partner closely with the User Experience & Service Design team to embed intuitive and accessible design principles into every solution. Strategic Backlog Management & Agile Product Management: Translate business problems into data-product opportunities. Manage backlogs, epics, and user stories in an agile setting, balancing quick wins with strategic builds. Ensure prioritization aligns with business value, technical feasibility, and readiness for production. Stakeholder Collaboration: Work cross-functionally with Group CDO, CIB platform teams, compliance, risk, and governance forums to align AI initiatives with broader business strategy and regulatory expectations. Tech and Data Collaboration: Partner with data scientists, ML engineers, and solution architects to co-create and iterate AI products that meet real business needs while aligning with enterprise architecture and data governance standards. Scalable Product Architecture: Partner with Solution Archetype and Platform Engineering teams to develop scalable, production-grade AI patterns that can be reused across business lines. Benefit Realization and Measurement: Define success metrics and track ROI, adoption, and impact. Own the benefit case documentation for each use case. Industry & Tech Radar: Stay ahead of the curve. Scan the AI landscape—agentic AI, multimodal models, LLMOps—and bring those insights into our use case pipeline and product evolution. A plus point Exposure to LLMOps or agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen)Experience with compliance and model risk management in AI products Background in corporate banking, products and processes Familiarity with AI observability tools or explainability frameworks (XAI)Regulatory & Business Conduct • Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered