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Global Technical Product Owner

Client of Salt · Dubai

Posted Oct 23, 2026Source: naukrigulf
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Job description

My client is seeking an experienced Global Technical Product Owner AI & ML to drive the development and delivery of Generative AI products and enterprise AI capabilities within a leading banking environment. This is an exciting opportunity for a product leader who can bridge business strategy, data science and engineering, translating 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 to deliver high-impact AI products. • Own and manage multi-squad product backlogs, prioritisation, agile execution and cross-platform dependencies. • Establish evaluation frameworks for LLMs and agentic workflows, defining KPIs, ROI measures and performance benchmarks. • Drive AI observability, governance, fairness and regulatory compliance across the product lifecycle. • Engage senior stakeholders, translating complex technical capabilities into clear business outcomes and executive-level 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, continuous improvement and effective product delivery. Requirements: • 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. • Strong understanding of Generative AI, LLMs, RAG, RLHF, agentic workflows and AI lifecycle management. • Experience with 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. • Bachelor s degree in Computer Science, Business, Information Systems or a related discipline. • Product management or AI strategy certifications are advantageous.

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