AI Lead

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.