Head of AI & Customer Intelligence

Tap Growth ai; Daerah Khusus Ibukota Jakarta; On-site; IDR 250.000.000 - 350.000.000; Full time

Job summary

A leading technology company based in Jakarta is seeking an experienced professional to lead AI-driven decisioning capabilities. The position requires oversight of advanced analytics and model governance to ensure ethical and explainable AI adoption. Candidates should hold a Bachelor’s degree in a relevant field and possess a minimum of 10 years of experience in AI/ML or advanced analytics. Strong leadership and strategic thinking skills are essential. This role offers opportunities to drive data-led customer actions at scale.

Qualifications

• 10+ years of experience in AI/ML, advanced analytics, or decisioning platforms.
• Strong understanding of ML engineering, model governance, and production-grade AI systems.
• Experience with large-scale data environments.

Responsibilities

• Own the end-to-end AI and decisioning portfolio.
• Design scalable decisioning architectures.
• Govern model risk, ethics, and compliance.
• Drive continuous performance uplift through testing.
• Partner with cross-functional teams to embed AI.

Skills

AI decisioning capabilities

Advanced analytics

Model governance

Cloud platforms (AWS, GCP, Azure)

Leadership

Strategic thinking

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering or related fields

Master’s degree (preferred)

Job description

About the Role

This role leads the design and execution of AI-driven decisioning capabilities to enable personalized, data-led customer actions at scale. You will oversee advanced analytics, model governance, and decision orchestration to drive growth while ensuring ethical, compliant, and explainable AI adoption.

Key Responsibilities

• Own the end-to-end AI and decisioning portfolio, including use-case prioritization, model development, deployment, and lifecycle management.
• Design scalable decisioning architectures covering real-time and batch decision engines, rules framework, experimentation, and feature management.
• Govern model risk, ethics, explainability, and regulatory compliance, including bias testing and human-in-the-loop controls.
• Drive continuous performance uplift through test-and-learn, champion–challenger models, and causal measurement.
• Partner closely with data science, marketing, technology, and platform teams to embed AI into customer journeys and operations.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related fields; Master’s preferred.
• Minimum 10 years of experience in AI/ML, advanced analytics, or decisioning platforms.
• Strong understanding of ML engineering, model governance, and production-grade AI systems.
• Experience with cloud platforms (AWS, GCP, Azure) and large-scale data environments.
• Strong leadership, strategic thinking, and ability to translate AI into business impact.