Data Product Manager
4 weeks ago
InvestEd National Capital Region, Philippines
This role is currently being offered on a consultancy basis. However, there may be an opportunity to revisit this position for a potential full-time hire in the future.
Responsibilities- Own and shape the data roadmap – translate company objectives into prioritized initiatives, balancing quick wins with foundational improvements to reduce tech/data debt
- Gather and document requirements through structured discovery with stakeholders and translate them into clear, actionable tech specs and user stories
- Lead and mentor a lean data team, driving clarity, accountability, and faster delivery by removing bottlenecks and improving processes
- Plan and run sprints – manage backlog, prioritize tasks, and ensure timely delivery through lightweight but disciplined sprint planning, standups, and retros
- Strengthen data quality and foundations – improve pipelines, models, monitoring, and documentation to ensure reliability and scalability
- Anticipate business needs and act as the voice of data in planning sessions, aligning stakeholders and driving adoption of delivered solutions
- Communicate progress, trade-offs, and risks clearly, keeping expectations realistic and focused on outcomes
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, or a related field (or equivalent practical experience)
- At least 2 years of product management experience leading a team of at least three members or owning a product area
- At least 5 years of cumulative experience in data analytics/analysis, data engineering, and product management
- Proven ability to gather, document, and translate requirements into technical deliverables that drive measurable business impact
- Skilled at prioritization, stakeholder alignment, and managing trade-offs in fast-moving environments
- Hands-on and comfortable with ambiguity, unblocking delivery independently when needed
- Experience with modern data stacks (dbt, Fivetran, Postgres, BigQuery/Snowflake/Redshift, BI tools) and backlog tools
- Experience writing user stories, acceptance criteria, and technical documentation
- Understanding of data modeling, pipelines, and data quality frameworks; comfortable going deep enough to make informed trade-offs.
- Strong grasp of SQL and Python; ability to query data for validation and troubleshooting
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