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The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.Product Manager - Data & AI ProductsThe insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.DescriptionJob Summary:This role is central to shaping products that transform complex datasets into insightful, scalable, and impactful digital solutions in the labour and education space You will operate at the intersection of data science, engineering, and policy, working closely with cross-functional teams to define product strategy, deliver robust analytical capabilities, and ensure measurable impact.This is a high-ownership role with significant responsibility and the opportunity to build products that directly influence policy decisions and societal outcomes globally.ResponsibilitiesProduct Strategy & VisionDefine and drive product vision, strategy, and roadmap aligned with business and client objectivesIdentify opportunities to leverage data, analytics, and AI to solve complex policy and economic challengesAnalytical Product DevelopmentLead the development of data-driven features, including dashboards, models, and decision-support toolsWork closely with data scientists to define analytical frameworks, models, and data pipelinesTranslate complex analytical outputs into intuitive product experiences for end usersProduct Discovery & Problem StructuringBreak down complex policy and business problems into scalable, data-backed product solutionsConduct user research, stakeholder interviews, and market analysis to inform product directionExperimentation & Data-Driven IterationDesign and run experiments (A/B testing, feature validation, model testing)Use data and analytics to validate hypotheses and drive continuous improvementRequirements & DeliveryTranslate business and analytical requirements into clear specifications for engineering, data science, and design teamsOwn the product lifecycle from ideation through development, deployment, and iterationPerformance & Data Ecosystem OwnershipDefine KPIs and build measurement frameworks for product successEnsure strong integration with data infrastructure to enable tracking, analytics, and insights generationCross-Functional CollaborationWork closely with engineers, data scientists, designers, and policy expertsAct as the bridge between technical teams and non-technical stakeholdersStakeholder & Client EngagementEngage with internal leadership and external stakeholders, including government counterpartsTranslate client needs into product features and communicate analytical insights effectivelyRequirements4-8+ years of experience in product management, ideally in data, analytics, or AI-driven products Strong understanding of data analytics, data science workflows, and quantitative problem-solvingExperience working with:Data platforms, dashboards, or analytical productsData pipelines, metrics, and experimentation frameworksFamiliarity with machine learning or statistical modelling concepts (hands-on coding not required, but strong literacy expected)Proven ability to work closely with data science and engineering teamsExperience delivering complex, data-intensive products end-to-endExperience with tools such as Jira, Confluence, Figma, or similarStrong understanding of product analytics, A/B testing, and experimentation methodologiesSolid grasp of UI/UX principles, especially for data-rich interfacesHyperawareness of AI tools in the development process, including experience with tools such as Cursor and ClaudeExceptional analytical thinking and problem-solving skillsStrong communication and stakeholder management skillsAbility to manage multiple priorities and deliver under pressure Show more Show less