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

• Develop and manage product budgets and resource allocation
• Justify ROI and business value of product initiatives

Communication & Reporting

• Present product updates to senior leadership and board members
• Create regular product performance reports and dashboards
• Communicate product roadmap changes to stakeholders
• Manage external vendor relationships and partnerships

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