About the Role
We re looking for a Senior Product Manager - Data Foundation to drive the strategy and development of our core data infrastructure and platform capabilities. This role is central to building a robust data foundation that enables analytics, machine learning, and business intelligence across the organization. You will work closely with engineering, data, and product teams to ensure the right data is available, reliable, and accessible for decision-making and innovation.
What You Will Do
- Own the data foundation roadmap including data architecture, ingestion pipelines, governance, and metadata management.
- Partner with data engineers and architects to design and deliver scalable data solutions supporting multiple business domains.
- 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.
- Collaborate with analytics, AI/ML, and business teams to understand their data needs and translate them into clear product requirements.
- Set and monitor KPIs around data quality, latency, completeness, and usage adoption.
- 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.
- Stay informed on emerging data infrastructure technologies (e.g., data mesh, data lakehouse, and modern ETL/ELT tools).
What You Will Need
- Bachelor s or master s degree in computer science, engineering, data science, or a related field.
- At least 5 years of experience in product management with a focus on data, platform, or infrastructure products within the tech industry.
- Deep understanding of data architecture and pipeline technologies (e.g., Kafka, Airflow, dbt, Snowflake, and BigQuery).
- 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.
- Knowledge of data privacy regulations and compliance best practices.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Strong understanding of analytics enablement, data cataloging, and observability tools.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to Empower Progress by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia s vast consumer household.
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 GoTos official recruitment channels.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
