AI Product Manager

What you will be doing:

• Identify and prioritise AI opportunities based on business value, user needs, feasibility, data readiness, cost, and risk.
• Develop business cases and translate requirements into product features, user stories, acceptance criteria, and prioritised backlogs.
• Define and maintain AI product roadmaps covering discovery, experimentation, pilots, releases, and continuous improvement.
• Collaborate with Data Scientists, ML Engineers, Researchers, Architects, and Engineering teams to evaluate AI models and solution approaches.
• Define data requirements, quality standards, access constraints, and readiness criteria for AI use cases.
• Establish model and product evaluation frameworks, including performance metrics, baselines, testing, acceptance thresholds, and release criteria.
• Monitor product performance, adoption, quality, costs, and business outcomes, using feedback and evidence to drive improvements.
• Coordinate Responsible AI, governance, risk, security, privacy, legal, and compliance requirements throughout the product lifecycle.
• Develop product positioning, value propositions, pricing approaches, cost models, and return-on-investment assessments.
• Drive user adoption, training, change management, and benefit realisation while managing budgets, suppliers, and stakeholder expectations.

What we are looking for:

• A Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field
• Relevant AI certifications, such as Microsoft AI, Claude Associate, OpenAI, AWS, Google, or equivalent credentials.
• Experience in Product Management, Product Discovery, Business Analysis, or Software Development Lifecycle (SDLC) practices.
• Experience in requirements elicitation, user story development, solution design, roadmap development, and backlog prioritisation.
• Demonstrated experience with Agile delivery methodologies and cross-functional product delivery.
• Foundational to intermediate knowledge of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI.
• Experience with data-driven products, including data quality, data governance, data modelling, and data readiness for AI and analytics.
• Experience supporting or managing pilots, Proofs of Concept (PoCs), A/B testing, and model evaluation frameworks.
• Proficiency in analytics and performance measurement tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.
• Knowledge of Responsible AI, AI governance, risk management, regulatory compliance, data privacy, and ethical AI practices.
• Experience developing business cases, financial models, ROI assessments, cost-benefit analyses, and pricing strategies for digital, data, or AI-enabled products.
• Strong stakeholder engagement and communication skills, with the ability to explain complex technical concepts to business audiences.
• Experience supporting change management, user adoption, and product value realisation.

Please note that most of our positions are remote; however, candidates should reside within travelling distance of the client site, as the working arrangements may change depending on business requirements.