Description
We are looking for an experienced Data PM to lead the product strategy for the Measurement & BI team at Grab. The successful candidate will thrive in ambiguity and be genuinely excited about pushing the frontier of agentic Business Intelligence.
Responsibilities:
- Own and drive the product strategy for the charter within the context of Grab's broader data strategy.
- Deep dive into key problem spaces in the area and obsess over your users, while also designing against the feasibility of the tech stack.
- Set the line between platform and application for agentic BI, and move Grab's reporting onto governed metrics and semantic models.
- Build in the open with your users, be a power user of the data agents built on the platform, and ship merge requests.
- Be accountable for user metrics (adoption, engagement, task success) of platforms within the charter.
- Prioritize and oversee product initiatives end-to-end from discovery, through execution, to product launch.
- Represent the voice of the customer in discussions with the engineering team and key stakeholders.
Qualifications:
- Product Management: At least 6 years of hands-on technical product management experience, with at least 2 years in managing data or AI platforms.
- Metrics and BI: You have built or run a metrics layer, semantic layer or BI platform, in-house or on tools such as dbt Semantic Layer, Cube or LookML.
- Data Architecture: You can reason about how a metric travels from the lakehouse through engines such as Trino, StarRocks or Pinot, well enough to challenge an engineering design on feasibility and cost.
- Dimensional Modeling: Strong theoretical and practical understanding of relational data modeling (Kimball dimensional methodologies, DAG-based orchestration frameworks).
- Data Analytics and Problem-Solving: You are proficient in data-driven decision-making, validating your own analysis, and telling a compelling story with data.
- Stakeholder Communication: Ability to effectively communicate with both technical and non-technical stakeholders.
- AI and Agents: You have designed and shipped data products that AI agents consume, such as text-to-SQL or a semantic layer serving an LLM.
Benefits:
- Term Life Insurance and comprehensive Medical Insurance.
- GrabFlex to create a benefits package that suits your needs and aspirations.
- Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
- Confidential Grabber Assistance Programme.
- FlexWork arrangements such as differentiated hours.