Product Manager – Data & AI Products

Role Overview

• 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
• 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
• 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
• Design and run experiments (A/B testing, feature validation, model testing)
• Use data and analytics to validate hypotheses and drive continuous improvement
• 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
• Define KPIs and build measurement frameworks for product success
• Ensure strong integration with data infrastructure to enable tracking, analytics, and insights generation
• Work closely with engineers, data scientists, designers, and policy experts
• Act as the bridge between technical teams and non-technical stakeholders
• 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

Technical & Product Skills

• 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

Core Capabilities

• Exceptional analytical thinking and problem-solving skills
• Strong communication and stakeholder management skills
• Ability to manage multiple priorities and deliver under pressure

NICE TO HAVE |

· Background in economics, public policy, data science, engineering, or related fields · Experience in consulting, public sector, or economic development projects · Familiarity with cloud platforms (e.g., Google Cloud) and modern data architectures

Tech Stack

• Cloud

Benefits

• Work on high-impact projects with governments and large institutions
• Be part of a team pushing the boundaries of AI-driven software development
• Operate in a high-trust, high-autonomy environment
• Build products that go beyond dashboards
• real-world impact at scale