Senior AI Product Owner

Client of Acquism SARL

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 and Delivery Ownership, Planning & Coordination and Value Realization & Governance.
• 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.
• 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.
• 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.
• Define and track key KPIs and success metrics for each product.
• Ensure compliance with the banku2019s 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.
• 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.