About The Team
The Data Business Product Management team is the backbone of how our regional business understands itself. We own the data layer that powers financial reporting, performance measurement, and strategic planning — ensuring data is accurate, centralised, and trusted.
As a PM here, you sit at the intersection of finance, local markets, and engineering. You won't just coordinate between them — you'll define how data is structured, governed, and used to drive real business decisions. Your work directly shapes how the organisation allocates resources, tracks performance, and plans for the future.
Critically, the data we govern is also the foundation that AI depends on to interpret and perform accurately. Without this team, AI cannot do its job. If you want your work to power both the business and the intelligence behind it, this is where that happens.
Job Description
- Responsible for overall project management, planning, progress and deliverables for key metrics in a centralised data mart
- Evaluate and understand the requirements of business users and translate them into actionable tasks for data teams (Data PM / Data Engineer / Data Analyst)
- Collaborate with data teams to design and implement feasible solutions with optimal data structure
- Ensure logic change requests are implemented in the data marts accurately and reflect up-to-date business definitions
- Ensure accuracy and reliability of key metrics maintained in the data marts
- Prioritise tasks, align timelines and manage expectations of stakeholders across different teams
- Proactively identify issues and gaps from both business and technical sides, and propose optimisation solutions
Requirements
- Bachelor's Degree or above in any discipline
- At least 3 years of relevant experience
- Strong analytical, logical thinking and problem-solving skills
- Excellent communication skills to collaborate with multiple stakeholders from diverse backgrounds and manage timelines and priorities effectively
- Ability to explain complex technical concepts and implications in simple manner
- Proficiency in SQL and basic understanding of data architecture and data engineering
- Ability to work in a dynamic and agile environment
- Detail-oriented and proactive attitude towards problem-solving
