Head of Data

Boost Indonesia; Jakarta Pusat; On-site; IDR 900,000,000 - 1,200,000,000; Full time

Job summary

Boost Indonesia is seeking an experienced Head of Data to lead and scale its end-to-end data ecosystem in Jakarta. You will own data strategy, architecture, analytics, and governance to enable data-driven decisions across lending and consumer products.

You will build and mentor a high-performing data team and partner with executives to drive revenue growth, risk optimization, and operational efficiency through advanced analytics, dashboards, and trusted data platforms.

Qualifications

• Minimum 10 years in Data, Analytics, Data Engineering, or Data Science.
• Minimum 5 years in a leadership role managing data teams.
• Experience in fintech or financial services is preferred.
• Strong understanding of consumer and SME lending domains.
• Proven track record building and scaling data functions from scratch.
• Exposure to regulatory reporting and compliance in financial services.

Responsibilities

• Define and execute the company's data strategy and roadmap with business alignment.
• Build and lead a high-performing data team across Engineers, BI Analysts, Data Analysts, and Data Scientists.
• Partner with senior leadership to drive data-driven decision-making and performance insights.
• Lead Advanced Analytics and Data Science, including credit risk scoring and fraud detection.
• Develop BI dashboards and reporting frameworks for portfolio performance and customer metrics.
• Oversee data engineering and architecture across warehouses, lakes, and pipelines.
• Ensure data governance, quality, lineage, and security compliance.

Skills

Data leadership

Strategic thinking

Stakeholder mgmt

Data governance

Data engineering

Analytics leadership

SQL

Python

BigQuery

Snowflake

ETL tools

BI tools

Looker

Tableau

Power BI

Cloud platforms

Credit risk modeling

Tools

BigQuery

Snowflake

Redshift

Airflow

dbt

Job description

We are looking for an experienced and strategic Head of Data to lead and scale our end-to-end data ecosystem. This role will oversee Data Strategy, Data Engineering, Business Intelligence, Analytics, and Data Governance.

You will play a critical role in enabling data-driven decision-making across our productive lending (SME/business loans) and consumer lending businesses. The role requires a strong combination of technical expertise, leadership capabilities, and business acumen to build a scalable, reliable, and compliant data function that drives business growth and operational excellence.

Key Responsibilities

Define and execute the company's data strategy and roadmap in alignment with business objectives.

Build, lead, and develop a high-performing data team, including Data Engineers, BI Analysts, Data Analysts, and Data Scientists.

Partner with senior leadership to drive strategic and data-driven decision-making.

2. Advanced Analytics & Data Science

Lead the development of predictive and advanced analytics models, including credit risk scoring for consumer and SME lending, fraud detection, and collections and recovery optimization.

Drive experimentation initiatives, including A/B testing and uplift modeling, to support product and business growth initiatives.

3. Business Intelligence & Analytics

Oversee the development of dashboards and reporting frameworks across the organization.

Deliver actionable insights on portfolio performance, including disbursement, PAR, and NPL, as well as customer acquisition, conversion, retention, segmentation, and behavior.

Establish a source of truth and standardize business metrics across the organization.

4. Data Engineering & Architecture

Lead and manage the company's data infrastructure, including data warehouses, data lakes, and data pipelines.

Ensure data systems are scalable, reliable, secure, and efficient.

Oversee data integration from core lending systems, payment and transaction systems, and third-party providers such as credit bureaus and e‑KYC platforms.

Enable real-time or near real-time data availability where required.

5. Data Governance & Compliance

Establish and enforce data governance frameworks, policies, and standards.

Ensure data practices comply with applicable financial services regulatory requirements.

Implement data quality management, data lineage and documentation, and data access control and security standards.

6. Business Impact & Collaboration

Translate complex data into actionable insights and business recommendations.

Work closely with Risk, Product, Growth, Operations, and Collections teams.

Drive measurable business impact through revenue growth, risk optimization, and operational efficiency.

Requirements

Minimum 10 years of experience in Data, Analytics, Data Engineering, or Data Science.

Minimum 5 years of experience in a leadership role managing data teams.

Previous experience in fintech, P2P lending, banking, or financial services.

Strong understanding of both consumer lending and SME/productive lending businesses.

Proven experience building and scaling data functions from scratch.

Exposure to regulatory reporting and compliance within the financial services industry.

Experience working in high-growth or scaling organizations.

Strong leadership, strategic thinking, stakeholder management, and communication skills.

Ability to translate technical data concepts into business insights and actionable recommendations.

Technical Skills

Advanced SQL skills and proficiency in Python.

Experience with data warehouse platforms such as BigQuery, Snowflake, or Amazon Redshift.

Familiarity with ETL/ELT tools such as Airflow and dbt.

Strong understanding of data pipeline design and orchestration.

Experience with API integration and data ingestion.

Proficiency in BI tools such as Tableau, Power BI, or Looker.

Strong data visualization and storytelling capabilities.

Knowledge of machine learning techniques, including regression, classification, and clustering.

Understanding of credit risk modeling concepts, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).

Experience with cloud platforms such as GCP, AWS, or Azure.

Familiarity with big data technologies such as Spark is an advantage.

Why Join Us?

Be part of a growing financial technology business where data plays a central role in shaping business strategy, improving lending decisions, optimizing risk, and driving sustainable growth.