Product Manager - Data & AI Products

Job Summary

*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
• 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