VP, AI Transformation & Strategy — Indonesia Lead

SaxeCap; Indonesia; On-site; IDR 3,272,132,000 - 5,453,554,000; Full time

Job summary

SaxeCap is hiring a Vice President, AI Strategy & Deployment to lead the AI transformation efforts for portfolio companies in Indonesia, driving measurable EBITDA impact. You will manage technical teams, design end-to-end value creation roadmaps, and engage sponsors, founders, and executives to deliver rapid AI-enabled improvements.

You will operate across multiple workstreams, aligning technical opportunities with business outcomes while navigating data infrastructure maturity and regulatory

Qualifications

• 5–10 years of experience spanning two or more areas (private equity, AI/ML product management, strategy consulting, investment banking, or engineering).
• Hands-on experience leading teams of engineers/data scientists or analysts.
• Real AI/ML fluency: discuss model architectures, data pipelines, trade-offs with technical teams.

Responsibilities

• Own full lifecycle of AI-driven value creation across the PE portfolio from first engagement to deployment.
• Design transformation roadmaps for portfolio companies and manage production AI deployments.
• Support investment underwriting for SaxeCap's PE vehicle and lead business development with new partners.
• Coordinate with global sponsors and Indonesian management teams to translate playbooks into action.

Skills

AI/ML strategy

PE experience

Strategy consulting

Stakeholder mgmt

Engineering leadership

Python

SQL

Education

CS/Engineering/Math

Tools

Python

SQL

Data science tools

Job description

SaxeCap is hiring a Vice President, AI Strategy & Deployment to lead the AI transformation efforts for portfolio companies in Indonesia, driving measurable EBITDA impact. You will manage technical teams, design end-to-end value creation roadmaps, and engage sponsors, founders, and executives to deliver rapid AI-enabled improvements.

You will operate across multiple workstreams, aligning technical opportunities with business outcomes while navigating data infrastructure maturity and regulatory