Job 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.
Responsibilities:
Product Strategy & Vision
Define and drive product vision, strategy, and roadmap aligned with business and client objectives
Identify opportunities to leverage data, analytics, and AI to solve complex policy and economic challenges
Analytical Product Development
Lead the development of data-driven features, including dashboards, models, and decision-support tools
Work closely with data scientists to define analytical frameworks, models, and data pipelines
Translate complex analytical outputs into intuitive product experiences for end users
Product Discovery & Problem Structuring
Break down complex policy and business problems into scalable, data-backed product solutions
Conduct user research, stakeholder interviews, and market analysis to inform product direction
Experimentation & Data-Driven Iteration
Design and run experiments (A/B testing, feature validation, model testing)
Use data and analytics to validate hypotheses and drive continuous improvement
Requirements & Delivery
Translate business and analytical requirements into clear specifications for engineering, data science, and design teams
Own the product lifecycle from ideation through development, deployment, and iteration
Performance & Data Ecosystem Ownership
Define KPIs and build measurement frameworks for product success
Ensure strong integration with data infrastructure to enable tracking, analytics, and insights generation
Cross-Functional Collaboration
Work closely with engineers, data scientists, designers, and policy experts
Act as the bridge between technical teams and non-technical stakeholders
Stakeholder & Client Engagement
Engage with internal leadership and external stakeholders, including government counterparts
Translate client needs into product features and communicate analytical insights effectively
Requirements:
4-8+ 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-solving
Experience working with:
Data platforms, dashboards, or analytical products
Data pipelines, metrics, and experimentation frameworks
Familiarity 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 teams
Experience delivering complex, data-intensive products end-to-end
ā¢ Experience with tools such as Jira, Confluence, Figma, or similar
Strong understanding of product analytics, A/B testing, and experimentation methodologies
Solid grasp of UI/UX principles, especially for data-rich interfaces
Hyperawareness of AI tools in the development process, including experience with tools such as Cursor and Claude
Exceptional analytical thinking and problem-solving skills
Strong communication and stakeholder management skills
Ability to manage multiple priorities and deliver under pressure
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