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Kredivo Group

Senior Product Manager - Data

Kredivo Group Special capital Region of Jakarta, Java, Indonesia

Financial Services · 1,001-5,000 employees

19 h ago
product-manager Mid (2-5 yrs) Full-time Indonesia
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About the role

The Senior Product Manager will define the product strategy and roadmap for data science and machine learning services while acting as the primary liaison between technical teams and business stakeholders. They are responsible for translating business needs into technical requirements and ensuring the delivery of reliable, high-impact data products.

What they look for

Product Management Data Science Machine Learning Product Strategy Roadmap Planning Stakeholder Management Data Analysis Technical Communication Project Management Performance Metrics Cross-functional Leadership Requirement Gathering Platform Strategy Infrastructure Prioritization Problem Solving

Requirements

Candidates must have at least 4 years of product management experience, preferably with data or machine learning products. Strong communication skills and the ability to bridge the gap between technical engineering teams and non-technical business functions are essential.

Full description

Our DS/MLE team builds and operates data science and machine learning services consumed across the organization, Product Engineering, Customer Service, Finance, HR, and other business functions. We're looking for a Senior Product Manager who can translate diverse stakeholder needs into a coherent product strategy for these data/ML services, and own the roadmap that connects model capability to real business outcomes.

About the role:

  • Set the product roadmap and strategy for DS/MLE services, aligned to the needs of multiple internal stakeholder teams with different levels of data/ML literacy
  • Act as the primary interface between the DS/MLE team and consuming teams — translate business problems into product requirements, and translate technical constraints/trade-offs back into terms stakeholders can act on
  • Lead exploratory investigations into service performance and adoption (accuracy, latency, usage, business impact) and turn findings into prioritized initiatives
  • Collect and synthesize feedback from stakeholders to shape requirements, features, and prioritization of data/ML products
  • Own the tracking record of shipping reliable, on-time products with measurable business impact across the services stakeholders depend on
  • Guide, coach, and coordinate product managers/analysts in delivering multiple concurrent projects with cross-functional engineering, DS, and MLE teams
  • Partner with DS/MLE engineering leadership on platform and infrastructure priorities that affect product delivery (e.g. deployment speed, service reliability)

About you:

  • At least 4 years of experience as a product manager; experience with data, ML, or platform products strongly preferred
  • Extremely strong communication skills — able to work fluently with both highly technical (DS/MLE engineers) and non-technical (CS, Finance, HR) stakeholders
  • Strong intuition for stakeholder behavior and expectations, especially in reconciling competing priorities across business functions
  • Strong command of fundamental product management concepts, practices, and procedures
  • Excellent analytical and problem-solving skills — comfortable digging into data/model performance metrics to diagnose issues and identify optimization opportunities, not just qualitative feedback
  • Working understanding of how ML models are built, deployed, and monitored in production — enough to have credible technical conversations with DS/MLE engineers, even without hands-on modeling experience
  • Self-starter with strong project management skills to follow through on execution
  • Good leadership skills, including the ability to manage, coach, and direct a team
  • English is a must (spoken and written)

#LI-AL1

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