cygnify - Product Manager - Data & AI Products
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Requirements
• 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 • 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 • 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
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
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