AI Lead (Insights)

Maker Lab; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Maker Lab, a marketing agency building decentralised technology-led teams, seeks an AI Lead to scale Applied AI, Generative AI and agentic solutions across JAPAC. This role will turn AI innovation into enterprise-ready systems that streamline operations and improve decision making for clients and internal teams.

The position requires deep expertise in Python, BigQuery, LLMs, and governance, with a track record deploying GenAI pipelines at scale and influencing executive strategy.

Qualifications

• Master’s degree in Computer Science, Data Science, AI, Statistics, or equivalent.
• 12+ years of combined experience across Data Science, BI Transformation, and Enterprise AI Strategy.
• 5+ years driving regional programs across JAPAC.
• Production AI delivery: GenAI/LLM pipelines, multi-agent frameworks, or automated decision intelligence platforms.
• Executive influence: advisor to senior leadership, shaping OKRs and GTM roadmaps.
• Cloud & technical stack: Python, SQL, BigQuery, ML libraries (XGBoost, Scikit-Learn, TensorFlow), and Cloud (GCP).
• GenAI & Agentic Systems: LLM fine-tuning, RAG, prompt orchestration, Agentic tool-use, Gemini Pro ecosystem.
• Decision Modelling & Architecture: scenario planning engines, econometric forecasting, SHAP explainability, data lineage, CRM/ERP integration, BI platforms.

Responsibilities

• AI Incubation & 0-to-1 Architecture: lead charter, design, prototypes of Agentic AI workflows and HITL platforms.
• Executive Advisory & Problem Scoping: partner with regional leaders to translate bottlenecks into AI initiatives.
• Revenue & Predictive Intelligence: architect multi-stage predictive systems for prescriptive targeting.
• AI Engineering, Governance & Scalability: establish enterprise-grade standards for observability, evaluation, data lineage, and governance.
• Incubator Operations & Ecosystem Acceleration: manage intake and sprint velocity, mentor staff, promote AI literacy.

Skills

Python

SQL

BigQuery

XGBoost

Scikit-Learn

TensorFlow

GCP

LLM pipelines

Agentic systems

SHAP explainability

Data governance

Data Vault 2.0

Education

Master’s degree in Computer Science

Master’s degree in Data Science

Tools

Looker Studio

Power BI

Salesforce

SAP

BigQuery

Google Cloud Platform

Job description

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.

Job Summary:

We’re looking for an AI Lead to build and scale Applied AI, Generative AI and agentic solutions across six JAPAC sub-regions. You’ll turn AI innovation into practical, enterprise-ready solutions that streamline operations, enable smarter decisions and drive better outcomes for our teams and clients.

Role:

• AI Incubation & 0-to-1 Architecture: Lead the charter, design, and prototyping of cutting-edge Agentic AI workflows, Human-in-the-Loop (HITL) platforms (e.g., Gemini-powered automated reporting), and autonomous decision engines from concept validation to scalable enterprise deployment.
• Executive Advisory & Problem Scoping: Partner directly with regional C-suite and VP-level stakeholders across 350K+ accounts to translate ambiguous commercial bottlenecks into high-ROI AI, machine learning, and BI transformation initiatives.
• Revenue & Predictive Intelligence: Oversee the architecture of multi-stage predictive systems (XGBoost propensity frameworks, self-tuning scenario models, and BigQuery outlier detection logic) that shift enterprise GTM motions from reactive reporting to prescriptive targeting.
• AI Engineering, Governance & Scalability: Establish enterprise-grade standards for LLM observability, model evaluation (AUROC, SHAP interpretability), automated data lineage, and ethical AI governance to guarantee single-source-of-truth reliability across all distributed decision engines.
• Incubator Operations & Ecosystem Acceleration: Manage the intake, prioritisation, and sprint velocity of experimental AI initiatives; mentor senior data scientists and ML engineers while driving AI literacy across cross-functional commercial teams.

You:

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or an equivalent quantitative discipline.
• 12+ years of combined experience across Data Science, BI Transformation, and Enterprise AI Strategy, with 5+ years driving regional programs across JAPAC.
• Production AI Delivery: Demonstrated track record in architecting and deploying GenAI/LLM pipelines, multi-agent frameworks, or automated decision intelligence platforms into enterprise production.
• Executive Influence: Proven success acting as a trusted advisor to senior regional leadership (VP/Director level), shaping operational OKRs and multi-year GTM roadmaps.
• Cloud & Technical Stack: Advanced proficiency in Python, SQL, Cloud Data Warehousing (BigQuery), Machine Learning libraries (XGBoost, Scikit-Learn, TensorFlow), and Cloud ecosystems (GCP).
• GenAI & Agentic Systems (Preferred): LLM fine-tuning, RAG frameworks, prompt orchestration, Agentic tool-use, Gemini Pro ecosystem.
• Decision Modelling & Architecture (Preferred): Dynamic scenario planning engines, econometric forecasting, Winsorized trend analysis, SHAP explainability, Data Vault 2.0, multi-source CRM/ERP integration (Salesforce, SAP), BI platforms (Looker Studio, Power BI).
• Certifications (Preferred): Google Cloud Professional Machine Learning Engineer (PMLE) or Google Cloud Generative AI Leader.