Data Product Manager

Data Product Manager Location: Singapore Employment Type: Full-time Department: Product / Data / TechnologyAbout the RoleWe are looking for a strategic and analytical Data Product Manager to lead the development of data-driven products, platforms, and solutions. You will work closely with Data Scientists, Engineers, Business Analysts, and stakeholders across the organisation to define product vision, roadmap, and deliver scalable data products that enable insights, automation, and business growth.This role is ideal for candidates passionate about data, analytics, and creating products that empower users to make smarter decisions.Key Responsibilities1. Product Strategy & RoadmapDefine product vision, strategy, and roadmap for data products, including dashboards, analytics tools, APIs, and data platforms.Conduct market research, competitive analysis, and user research to identify customer needs.Align product initiatives with business objectives and prioritise accordingly.2. Requirements Gathering & DocumentationTranslate business needs into clear product requirements, user stories, and acceptance criteria.Work closely with data stakeholders to understand data sources, models, and dependencies.Ensure all requirements are well-documented and aligned across teams.3. Product Development & DeliveryPartner with Data Engineers and Data Scientists to design, build, and improve data products.Drive the end-to-end product lifecycle from concept to launch.Conduct feature testing, coordinate UAT, and ensure high-quality releases.4. Stakeholder & Project ManagementWork with internal teams including Business, Engineering, Operations, and Leadership to ensure alignment and progress.Communicate product plans, updates, and performance metrics clearly and consistently.Manage timelines, dependencies, and deliverables across multiple teams.5. Data Governance & QualityEnsure data integrity, security, and compliance across products.Collaborate on data governance, standardisation, and metadata frameworks.Monitor data health and proactively address potential issues.6. Product Performance & OptimisationDefine KPIs and success metrics for data products.Analyse user behaviour, adoption, and performance to guide continuous improvement.Collect feedback and iterate on features based on insights.RequirementsBachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related field.2–5+ years of experience in Product Management or Data-focused roles (e.g., Data Analyst, Data Engineer, BI Analyst).Strong understanding of data concepts: data modelling, ETL pipelines, SQL, BI tools.Experience with analytics tools such as Tableau, Power BI, Looker, or similar.Excellent communication and stakeholder management skills.Ability to manage multiple projects in a dynamic, fast-paced environment.Preferred QualificationsExperience building data platforms, ML products, or API-based products.Familiarity with cloud platforms (AWS, GCP, Azure) and modern data stacks.Knowledge of statistics, machine learning, or experimentation frameworks.Experience with Agile/Scrum methodologies.Prior experience in SaaS, fintech, e-commerce, AI/ML, or data-driven industries.Why Join UsBuild impactful data products used across the organisation or by external customers.Collaborate with diverse teams of Engineers, Analysts, and Data Scientists.Lead data-driven innovations in a high-growth environment.Strong career progression opportunities toward Senior Data PM, Lead PM, or Head of Data Products.