Global Technical Product Owner - AI & ML (Banking)

About the role

A leading bank is looking for an experienced Global Technical Product Owner for AI & ML to drive the development and delivery of Generative AI products and enterprise AI capabilities. The role bridges business strategy, data science and engineering, turning AI capabilities into secure, scalable solutions that deliver measurable business value.

Key responsibilities

• Define and drive the product strategy and roadmap for Generative AI solutions, aligned with business transformation objectives.
• Translate AI strategy into prioritised initiatives, product requirements and scalable enterprise solutions.
• Lead cross-functional teams across AI, data science, engineering and business functions.
• Own and manage multi-squad product backlogs, prioritisation, agile execution and cross-platform dependencies.
• Establish evaluation frameworks for LLMs and agentic workflows, including KPIs, ROI measures and performance benchmarks.
• Drive AI observability, governance, fairness and regulatory compliance across the product lifecycle.
• Engage senior stakeholders and turn technical capabilities into clear business outcomes and executive narratives.
• Evaluate emerging AI technologies and drive adoption of LLMs, RAG, agentic systems and tools such as Azure OpenAI, LangChain and Pinecone.
• Lead and develop the team, fostering innovation and continuous improvement.

Required profile

• 8+ years of experience in product management, ideally focused on AI-enabled automation and enterprise technology products.
• Proven experience delivering enterprise AI platforms and leading cross-functional technical teams.
• Bachelor's degree in Computer Science, Business, Information Systems or a related discipline.
• Product management or AI strategy certifications are advantageous.

Required skills

• Generative AI, LLMs, RAG, RLHF, agentic workflows and AI lifecycle management.
• Agile product management, portfolio prioritisation, backlog ownership and multi-team delivery.
• Knowledge of AI evaluation, observability, governance and responsible AI principles.
• Strong stakeholder management, communication and executive engagement skills.