Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.
Responsibilities:
Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows – designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data
5+ years in analytics/data, with 2+ years in a leadership role
B.Sc. in Industrial Engineering, Information Systems, or a related quantitative field
Experience working in AI, Machine Learning, Computer Vision, or Data Science environments – an advantage.
Hands-on experience with agentic AI tools (e.g., Claude, Cursor, Copilot) to accelerate analysis, automate workflows, and boost team productivity.
Understanding of AI lifecycle, model evaluation methodologies, and data annotation processes – an advantage.
Deep understanding of databases and data modeling
Strong analytical abilities and strong SQL and Python skills
BI experience (Tableau preferred)
Experience with the modern data stack – ETL/ELT, dbt, Snowflake – an advantage
Strong communication and cross-team collaboration skills
