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12 дней назад

Lead Product Manager, Data Platform (Data Mesh)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Product Manager, Data Platform (Data Mesh) (Data Mesh/AI): Building Grab's data mesh, shared business models, governed data products, and AI-enabled catalog and engineering tools with an accent on data modeling, quality, security, and adoption. Focus on setting standards across independent domain teams, tracing data through Kafka, Spark or Flink, Iceberg, and Trino, and improving agent accuracy through metadata and evaluation.

Location: Onsite at hirify.global's headquarters in Singapore

Company

hirify.global is Southeast Asia's leading superapp, providing food delivery, mobility, financial, and other digital services while using technology and AI to drive economic empowerment.

What you will do

  • Own the strategy and roadmap for hirify.global's data mesh and improve throughput over modeled data.
  • Define how core business entities are modeled, mapped to physical data, and related to one another.
  • Make modeled data products the default for analysis and AI model training while reducing the effort required for domain teams to publish them.
  • Own data quality testing, business-impact tiers, data contracts, and producer change requirements.
  • Ensure access control, data classification, lineage, business context, and automated catalog maintenance across the data platform.
  • Own AI tools used by data engineers and analysts, build with coding agents, and drive adoption across hirify.global.

Requirements

  • 6+ years of technical product management experience, including 2+ years owning data platforms; internal platforms and commercial products both count.
  • Experience making shared definitions stick across teams that own their data, using data mesh, a layered lakehouse, or entity and semantic modeling.
  • Ability to trace data from Kafka through Spark or Flink jobs into Iceberg tables queried in Trino, and identify upstream changes that silently break consumers.
  • Experience shipping data contracts, quality checks, or incident workflows tiered by business impact, with stricter tests and faster fixes for higher tiers.
  • Experience building access control or data classification into a data platform, such as tag-based policies or column masking.
  • Ability to explain how an attacker could use an AI agent against the platform and how to prevent it.
  • Experience shipping metadata or context that agents read from DataHub or a similar catalog and demonstrating improved answer accuracy through evaluations.
  • Experience moving teams or customers outside your direct control onto a standard and retiring what it replaced.

Culture & Benefits

  • Individual contributor role reporting to the Head of Product, Data and AI Platforms.
  • Work with software engineers, product managers, product designers, and technical program managers on the data foundation powering hirify.global's business.
  • Build in the open and perform analysis through AI agents.
  • Work on platforms including the Data Lake, Signals Marketplace, Data Discovery and Catalog, Customer Data Platform, Experimentation, and Metrics.

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