Data Product Manager

apartmentTROOPERS placePetaling Jaya scheduleFull-time calendar_month 
As a Data Product Manager at TROOPERS, you will lead the development of data-driven solutions that empower smarter decision-making, operational efficiency, and product innovation across our gig workforce platform. You will work cross-functionally with business, engineering, and design teams to build impactful data products—including dashboards, reporting systems, and internal tools—anchored in measurable business value.

Your mission: ensure data becomes a strategic asset across all levels of the organization.

Key Responsibilities
  • Data Product Strategy: Define and own the vision and roadmap for data products, aligning with business objectives and enabling cross-functional teams to act on data insights.
  • Requirements & Execution: Translate business goals into clear data models, data requirements, success metrics, and user stories. Work closely with engineering to deliver high-quality dashboards, analytics tools, and data models. Respond to data requests from stakeholders.
  • Insight Delivery & UAT: Lead the UAT process to ensure data accuracy, usability, and relevance. Support teams in interpreting data outputs and integrating them into decision-making workflows.
  • Stakeholder Alignment: Collaborate with internal users—such as recruiters, client managers, and operations leads—to validate pain points, identify data needs, and continuously evolve product functionality.
  • 3–5 years of experience in product management, with at least 1–2 years focused on data platforms, business intelligence tools, or analytics products.
  • Strong analytical mindset and working knowledge of SQL, data visualization (e.g., Power BI, Tableau, Metabase), and basic data modeling concepts.
  • Proven experience defining product specs, launching dashboards, and tracking product usage against business KPIs.
  • Excellent communication skills with the ability to collaborate across tech, business, and operations teams.
Nice to Have
  • Experience in the HR tech, gig economy, or B2B SaaS domain.
  • Familiarity with data privacy regulations (e.g., PDPA, GDPR) and security best practices.
  • Exposure to tools like dbt, Looker, Redshift, or Snowflake.
  • Past involvement in regional or multi-country product deployments.
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