Director AI

• Define the AI product vision, strategy, and roadmap in collaboration with business and technology leadership.

• Define the AI product vision, strategy, and roadmap in collaboration with business and technology leadership.
• Build and prioritise an AI product portfolio based on customer needs, business value, technical feasibility, risk, and speed of execution.
• Own the complete product lifecycle, including problem discovery, use-case definition, experimentation, prioritisation, development, launch, adoption, and optimisation.
• Partner with AI/ML engineers, data scientists, designers, platform teams, and business stakeholders to deliver reliable AI products at scale.
• Evaluate and integrate external AI platforms and LLM solutions where they offer strategic and business advantages, ensuring security, privacy, cost, and performance considerations.
• Establish modern AI product practices covering model evaluation, human-in-the-loop workflows, feedback mechanisms, observability, and continuous improvement.
• Translate AI capabilities into measurable business outcomes, including revenue growth, monetisation, cost optimisation, productivity, risk reduction, and improved customer experience.
• Establish governance frameworks for Responsible AI, regulatory compliance, data privacy, security, explainability, risk management, and auditability.
• Build and strengthen AI Product Management capabilities through talent development, operating frameworks, decision-making processes, documentation, and best practices.
• Lead, mentor, and develop high-performing teams while influencing senior stakeholders across the organisation.

• Establish a focused AI roadmap aligned with strategic business priorities and customer outcomes.

• Establish a focused AI roadmap aligned with strategic business priorities and customer outcomes.
• Successfully launch and scale AI products with measurable improvements in value, quality, safety, reliability, and user experience.
• Drive tangible business impact through improved productivity, operational efficiency, customer engagement, revenue, cost optimisation, and risk management.
• Implement robust AI evaluation and governance frameworks that enable responsible experimentation and deployment.
• Develop a repeatable AI product operating model and build a capable team that can take AI initiatives from discovery to measurable impact.

• 12–18 years of overall experience, with 12–14 years specifically in Product Management.

• 12–18 years of overall experience, with 12–14 years specifically in Product Management.
• At least 3 years of experience building or scaling AI-driven products.
• Proven track record of launching B2C or B2B AI/ML-powered products at scale and driving sustained adoption beyond pilot stages.
• Strong understanding of Generative AI and its product applications, including LLMs, transformers, embeddings, and modern AI application architectures.
• Ability to translate technical AI capabilities into customer-focused solutions, commercial value, and actionable product strategies.
• Experience leading high-performing product teams and collaborating across Engineering, Data Science, Design, Risk, Compliance, and Business functions.
• Strong strategic thinking, analytical judgement, communication, and stakeholder management skills.
• Ability to operate effectively in fast-paced, ambiguous, and highly regulated business environments.

• Experience in Payments, FinTech, Financial Services, or other regulated technology environments.

• Experience in Payments, FinTech, Financial Services, or other regulated technology environments.
• Exposure to AI platforms, LLM providers, model evaluation, LLMOps, MLOps, Retrieval-Augmented Generation (RAG), and AI-agent applications.
• Experience with Machine Learning, Intelligent Automation, and predictive analytics.
• Domain knowledge in fraud detection, risk management, and personalised customer experiences.
• Demonstrated ability to balance innovation with data privacy, information security, Responsible AI, and regulatory requirements.