Job Summary

• The Senior AI Product Owner – is responsible for driving the successful delivery of Data & AI products across assigned business domains, primarily Retail or Wholesale Banking.
• The role serves as a single point of accountability for product vision, prioritization, and execution, ensuring alignment between business objectives and Data & AI Lab delivery teams.
• The position bridges business and technology by translating strategic priorities into scalable, high-impact data and AI solutions, while ensuring value realization, governance, and delivery excellence across the product portfolio.

Key Accountabilities

• Product Strategy & Vision
• Define and maintain the product vision and roadmap for assigned data and AI products within the business domain.
• Partner with domain heads and senior stakeholders to identify new opportunities for data-driven value creation.
• Stakeholder Management
• Act as the primary liaison between Data Lab and business units (Retail / Wholesale Banking), ensuring transparency, alignment, and shared accountability for outcomes.
• Manage stakeholder expectations, prioritize requests, and facilitate trade-off discussions.
• Communicate progress, risks, and dependencies to senior management and steering committees.
• Delivery Ownership
• Own and manage the product backlog across multiple teams (DE, DS, MLE, BI).
• Define epics, user stories, and acceptance criteria in collaboration with technical leads and architects.
• Ensure high-quality and timely delivery of data products, dashboards, ML models, and AI-driven capabilities.
• Lead sprint planning, retrospectives, and continuous improvement initiatives with Agile delivery teams.
• Planning & Coordination
• Oversee the end-to-end delivery lifecycle, including requirements gathering, design, development, testing, and release.
• Coordinate inter-team dependencies, manage capacity planning, and align releases across the Data Lab portfolio.
• Drive integration of Data Lab products with enterprise systems and business workflows.
• Value Realization & Governance
• Define and track key KPIs and success metrics for each product.
• Ensure compliance with the bank’s Data Governance, Privacy, and Security policies.
• Partner with Data Governance team to monitor data quality, lineage, and ownership within assigned products

Key Competencies

• Functional / Business Skills
• Deep understanding of banking processes (Retail, Corporate / Wholesale, Digital channels).
• Strong product management background, ideally in Data, AI, or Digital transformation context.
• Ability to translate business needs into data and AI product requirements.
• Experience defining roadmaps, KPIs, and ROI metrics.
• Leadership & Collaboration
• Excellent stakeholder management and communication across senior business and technology leadership.
• Proven experience leading cross-functional delivery teams.
• Strong planning, prioritization, and coordination skills.
• Entrepreneurial mindset with ability to balance innovation and operational excellence.
• Technical Awareness
• Understanding of AI/ML lifecycle, analytics, BI, and reporting.
• Familiarity with modern data platforms (e.g., Data Lakehouse, Data Streaming, APIs).
• Experience working in Agile or hybrid delivery models.

Qualifications & Experience

• Bachelor’s or Master’s degree in AI, Data Science, Finance, Information Systems, or related field.
• 8+ years of experience in Product Management, Program Management, or Data/AI Delivery.
• Proven track record in delivering complex data or AI products in financial services or technology organizations.
• Agile certification (Scrum PO, SAFe, or equivalent) preferred.
• PMI PMBoK certification preferred