Lead Product Manager, Data Platform (Measurement & BI)

We are looking for an experienced Data PM, who thrives at solving complex problems in the big data space and has a proven track record of building for technical users. This is a high-leverage role within the organization, picking up the charter at an inflection point – we have spent years scaling the metrics platform. We now need someone to take it to the point where anyone at Grab, a person or an AI agent, can measure a feature, a campaign or a market, with the platform carrying the technical work.

The successful candidate will thrive in ambiguity and be genuinely excited about pushing the frontier of agentic Business Intelligence, while also defining the feedback loop to Grab’s broader Data & AI strategy.

This is an individual contributor role based onsite in Grab’s headquarters in Singapore, reporting to the Head of Product, Data and AI Platforms.

The Critical Tasks You Will Perform

• 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.
• You will set the line between platform and application for agentic BI, and move Grab's reporting onto governed metrics and semantic models.
• You will 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.

What Essential Skills You Will Need

• 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.

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.