Product Managers - (Public Sector)

Product Strategy

Build strong relationships and partner with heritage institutions, museums, libraries, and research organisations to define product vision, business objectives, strategy and roadmap for AI and data initiatives
Lead stakeholder engagement to develop value propositions for AI-powered heritage solutions and secure buy-in for product initiatives

Product Discovery

Conducting product discovery and user service journey workshops
Conduct competitive landscape analysis and market positioning for heritage technology solutions
Define go-to-market strategies and product launch plans
Create and maintain product documentation and knowledge bases
Conduct user testing sessions with historians, curators, and heritage enthusiasts to translate insights into AI and data product improvements

Product Development

Manage product backlog, conduct user interviews, run design sprints, development sprints and prioritize features to deliver maximum value for users
Define, implement and track key product metrics including user acquisition, engagement, conversion rates, and retention across AI and data platform features
Own product performance through comprehensive analytics, monitoring user behaviour patterns, feature adoption rates, and platform usage trends to drive data-driven product decisions
Write clear product requirements and user stories for AI models, data pipelines, and analytics platforms
Own product performance and track user engagement by making data-driven decisions through advanced analytics and AI metrics
Maintain and manage updates, model retraining, and bug fixes to ensure AI system reliability and data platform stability

Budget & Resource Management

Communication & Reporting

Requirements

Experience & Qualifications

Diploma/Degree in Computer Science, IT, Engineering or related field
Minimum 5 years of relevant experience in product management, with preference for AI/data product experience
Experience working directly with data scientists, AI/ML engineers, designers, and product teams
Strong background in modern AI/data development practices (Agile, AWS Cloud, Cloud AI services, Data Engineering, Design Thinking)
Proven track record of shipping successful AI or data products from scratch

Technical Skills

AI/ML product and project management
Strong analytical and problem-solving capabilities with data-driven approaches
Understanding of machine learning workflows, data pipelines, and AI model deployment
User experience (UX) capabilities

Professional Attributes

Familiarity with IM8 policies, GCC architecture, CI/CD pipelines
Strategic thinking and decision-making ability in AI and data contexts
Excellence in stakeholder management and communication across technical and non-technical audiences
Data-driven approach to problem-solving

Personal Qualities

Action-oriented mindset with focus on AI innovation
Innovation-focused approach
Growth mindset and continuous learning attitude towards emerging AI technologies
Strong sense of ownership and accountability
Passion for heritage preservation and leveraging technology for societal benefit

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