Sales Executive, Healthcare SaaS — Denmark
ScaleupXQ
Build ExorLive’s Danish healthcare SaaS business from the ground up, closing complex B2B and B2G deals with clinics, private chains, regions, and hospitals.
Open
Maker Lab is a consulting and marketing company that helps brands build stronger in-house capabilities through embedded teams and studio-on-demand services. Its work brings together global, pre-vetted talent—including content creators and social strategists—matched with client needs using AI. Maker Lab focuses on social-first brand building, cultural trends, and hyperlocal content, with teams supporting collaborative delivery across consulting, marketing, and logistics contexts.
Senior AI Lead, Insights — Maker Lab (Singapore, Hybrid)
Lead agentic AI, predictive intelligence, and governance initiatives for Maker Lab’s marketing teams across JAPAC. Advise executives and mentor senior AI specialists.
Description
- Shape and prototype agentic AI workflows, human-in-the-loop platforms, and autonomous decision engines, from concept validation to enterprise deployment.
- Work with regional C-suite and VP stakeholders across more than 350,000 accounts to turn commercial challenges into AI, machine learning, and BI transformation initiatives.
- Oversee predictive systems, including XGBoost propensity frameworks, self-tuning scenario models, and BigQuery outlier detection.
- Set standards for LLM observability, model evaluation, automated data lineage, and responsible AI governance.
- Coordinate intake, prioritisation, and sprint delivery for experimental AI initiatives.
- Mentor senior data scientists and machine learning engineers, while building AI literacy across commercial teams.
Requirements
- Master’s degree in computer science, data science, artificial intelligence, statistics, or a related quantitative field.
- At least 12 years of combined experience in data science, BI transformation, and enterprise AI strategy.
- At least five years leading regional programs across JAPAC.
- Proven experience designing and deploying GenAI or LLM pipelines, multi-agent frameworks, or automated decision intelligence platforms in enterprise production environments.
- Track record as a trusted advisor to senior regional leaders at VP or director level.
- Advanced skills in Python, SQL, BigQuery, XGBoost, Scikit-learn, TensorFlow, and Google Cloud Platform.
- Experience with LLM fine-tuning, RAG frameworks, prompt orchestration, agentic tool use, and the Gemini Pro ecosystem is preferred.
- Experience with dynamic scenario planning engines, econometric forecasting, winsorized trend analysis, SHAP explainability, Data Vault 2.0, Salesforce, SAP, Looker Studio, and Power BI is preferred.
- Google Cloud Professional Machine Learning Engineer or Google Cloud Generative AI Leader certification is preferred.
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