About the Role We’re looking for a Product Manager – Data Foundation to drive the strategy and development of our core data infrastructure and data science platform. This role is central to building a robust data foundation that enables analytics, machine learning, and defines roadmap for Data Science Platform. Partnering closely with engineering, data science, and product stakeholders, you’ll translate user needs business intelligence, prioritized features, drive delivery, and ensure the platform enables rapid, reliable model development and productionization.

What You Will Do

Own the data foundation and data science platform roadmap — including data architecture, ingestion pipelines, governance, and metadata management and data science product line.

Partner with data engineers, analytics, and business team to design and deliver scalable data solutions supporting multiple business domains.

Engage with Data Scientists, ML Engineers, and stakeholders to gather requirements, validate pain points, and prioritize features.

Work daily with engineering teams to drive implementation, remove blockers, and ensure timely delivery.

Define and implement data product principles (data as a product, data contracts, lineage, and quality).

Prioritize initiatives that improve data availability, discoverability, and trustworthiness across the company.

Set and monitor KPIs around data quality, latency, time-to-prototype, model deployment frequency.

Champion data governance and standardization efforts to ensure compliance and consistency.

Drive alignment between data engineering and product teams to enable self-service analytics and accelerate delivery of insights.

What You Will Need

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

At least 5 years of experience in Product Management with focus on data infrastructure [e.g., Kafka, Airflow, dbt, Snowflake, BigQuery] and data science platform [feature engineering, training, model evaluation, deployment, monitoring].

Technical fluency with data platforms, MLOps concepts (CI/CD for ML, model registries, feature stores), containerization, orchestration (Kubernetes), and cloud services (AWS/GCP/Azure).

Proven experience in managing data lifecycle — from ingestion to storage, governance, and consumption.

Strong analytical mindset; ability to work with SQL and data visualization tools for validation and insights.

Demonstrated success in working with cross-functional engineering teams in an Agile environment.

Excellent communication and stakeholder management skills — able to bridge technical and business perspectives.

Experience implementing data mesh or data platform modernization initiatives.

About GoTo Group

GoTo is the largest digital ecosystem in Indonesia. GoTo's mission is to 'empower progress' by offering technology infrastructure and solutions that help everyone to access and thrive in the digital economy.

The GoTo ecosystem provides a wide range of services, including mobility, delivery, payments, financial services, and technology solutions for merchants. The ecosystem also provides e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.

About Gojek

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.

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