Data & Analytics Team Lead

SeeTrue is an exciting, well-funded Artificial Intelligence startup in the heart of Tel Aviv (a short walk from Azrieli train station). SeeTrue leverages Machine Learning and Computer Vision to optimize passenger journeys, making security screening accurate, fast, and labor-free.

We’re looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. You’ll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. You’ll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.

You'll thrive in this role if you're 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.

• 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