Data & AI Manager

Sekolah.mu; Jakarta Pusat; On-site; IDR 900,000,000 - 1,500,000,000; Full time

Job summary

PT SID is seeking a senior leader to drive Data Analytics, AI Engineering, and Data Engineering, ensuring data-driven decision making across the organization.

The role focuses on defining data and AI strategy, adopting GenAI platforms, building scalable data infrastructure, and mentoring teams to scale GenAI, MLOps, and analytics capabilities.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in Python, R, SQL andBig Data technologies such as Spark, Kafka, Hadoop.
• Deep technical understanding of GenAI models, MLOps, and Data Governance frameworks.

Responsibilities

• Lead Data Analytics, AI Engineering, and Data Engineering teams to drive data-driven decisions.
• Formulate and execute a comprehensive Data & AI strategy aligned with organizational goals.
• Lead the adoption of GenAI platforms and integrate them into internal systems to automate processes.

Skills

Python

R

SQL

Big Data (Spark/Kafka/Hadoop)

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field

Tools

OpenAI

Google Vertex AI

DeepSeek

Job description

Responsible for leading and overseeing the Data Analytics, AI Engineering, and Data Engineering teams within PT SID. This role exists to drive data-driven decision-making by providing actionable insights, implementing cutting-edge GenAI solutions, and ensuring seamless processing, integration, and management of data across the organization.

What You Will Do

Drive Data & AI Strategy: Formulate and execute a comprehensive Data & AI strategy aligned with organizational goals.

Implement Market-Proven GenAI: Lead the adoption of state-of-the-art GenAI platforms (e.g., OpenAI, Google Vertex, DeepSeek) and integrate them into internal systems to automate key processes.

Oversee Infrastructure & MLOps: Ensure scalable, secure, and cost-efficient data infrastructure while adhering to data governance and ethics standards.

Empower & Grow Talent: Mentor team members and cultivate a learning culture focused on GenAI, MLOps, and advanced analytics.

Minimum 7+ years of experience in Data Strategy, Advanced Data Analytics, Data Engineering, or AI/ML.

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.

Proficiency in Python, R, SQL, and Big Data technologies (Spark, Kafka, Hadoop).

Deep technical understanding of GenAI models, MLOps, and Data Governance frameworks.

Exceptional Business Acumen, Problem-Solving skills, and Stakeholder Management capabilities.

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