AI Lead (Insights)

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.

Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.