Funding Data & Process Improvement Manager

About the Role

As a Funding Data & Process Improvement Manager at GoTo Financial, you will oversee end-to-end data management for the Funding and Partnership teams while driving continuous improvements across funding operations. This role supports leadership in optimizing cost of funds and improving funding scalability through strong data governance, streamlined processes, and close collaboration with cross-functional stakeholders.

What you will do:
• Oversee and optimize end-to-end business processes across the funding and superlender business flow.
• Define and uphold data governance standards, ensuring data accuracy, completeness, and consistency.
• Design and implement standardized workflows, SOPs, and control mechanisms to drive operational efficiency and compliance.
• Manage onboarding and data integration for new funding partners, including due diligence, data validation, and ongoing information requests.
• Develop portfolio monitoring and performance management tools for funding partners to support strategic decision-making.
• Collaborate cross-functionally to align data sources, harmonize reporting, and enhance internal management information flows.

What you will need:
• Bachelor’s degree in Finance, Management, Statistics, or a related quantitative/business discipline is preferred.
• Minimum 6 years of experience in process improvement, financial operations, data analysis, or related roles, with a strong track record of driving efficiency and data-driven improvements.
• Strong proficiency in productivity tools (Word, Excel, Google Slides) with high attention to structure and clarity
• Exposure to data analysis tools (Excel, Sheets, SQL)
• Proactive, structured, and comfortable navigating ambiguity

About the Team

You’ll be part of the GoTo Financial Funding and Superlender team, a small, high-performing group with a strong data-driven mindset. The team works closely with internal and external stakeholders to solve analytical challenges and deliver insights that drive real business impact. Collaboration, accuracy, and continuous learning are core to how we work.

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 GoTo's official recruitment channels.

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