Applied AI R&D Manager

Esha Parama Technology; Daerah Khusus Ibukota Jakarta; On-site; IDR 167,400 - 223,200; Full time

Job summary

A leading tech company in Jakarta is seeking a skilled professional to translate their AI strategy into actionable roadmaps, oversee AI squads, and ensure the successful integration of AI solutions within various business units. The ideal candidate should have a Bachelor's degree in a quantitative field and at least 5 years of leadership experience in AI productization. Strong communication skills and a solid understanding of business needs are essential for this role.

Qualifications

• 5+ years of leadership experience in AI and machine learning.
• Proven ability to communicate with stakeholders and understand business needs.
• Experience in more than one domain such as Risk Analytics or Marketing Analytics is a plus.

Responsibilities

• Translate enterprise AI strategy into executable roadmaps.
• Oversee AI squads to scale AI models for operational impact.
• Collaborate with business units to embed AI solutions into workflows.

Skills

AI productization

MLOps

Applied machine learning

Communication skills

Data science solutions

Education

Bachelor's degree in quantitative field

Job description

Responsibilities

• Translate enterprise AI strategy into executable roadmaps
• Oversee AI squads to deliver and scale AI models that drive operational and financial impact.
• Collaborate with business units, Data & Analytics, and Technology to embed AI solutions into business workflows.
• Work backwards to conceptualize and design analytic model frameworks to solve business problems
• Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap

Requirements

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• Proven expertise in AI productization, MLOps, and applied machine learning
• Demonstrated success in leading AI teams delivering measurable ROI and operational efficiency
• At least 5 years of leadership experience
• Proven experience to formulate data science solutions to business problems
• Proven ability to communicate with business and know business needs
• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Fraud analytics etc.
• Experience in Model Context Protocol is a plus