VP Data

Wanted: VP Data for a SaaS company in Herzliya. This is a very rewarding full-time and Hybrid position.

The chosen candidate will spearhead the entire data function, uniquely combining strategic leadership with hands-on model building in a cutting-edge Generative AI ecosystem. This senior role offers the exciting opportunity to scale a world-class team from an early stage while directly impacting the intersection of advanced technology and the sports industry. It is a perfect match for a technical leader who thrives on architecting complex systems and possesses a massive, genuine passion for sports.

Job Responsibilities:

● Own the technical direction and the end-to-end data stack, acting as a hands-on leader to build advanced multi-model deep learning and LLM/agent systems. ● Build, mentor, and scale a world-class data team while establishing a high bar for technical quality, execution, and seamless cross-functional collaboration.

● Partner closely with Product and Engineering to translate complex sports scouting and analytics needs into a coherent, scalable technical roadmap.

● Implement rigorous validation practices, establishing metrics that measure machine learning models against real-world outcomes rather than theoretical performance.

Job Requirements:

● 8+ years of experience in Data Science and Machine Learning, with at least 3+ years of experience directly managing and scaling high-performing data teams.

● Exceptional hands-on capabilities to build models and architect systems, backed by strong proficiency in Python and modern ML tooling (such as PyTorch, Pandas, and NumPy).

● Deep understanding of deep learning fundamentals, production deployment, and robust data engineering pipelines (ETL, SQL, and processing messy real-world datasets).

● Proven experience in building, evaluating, and deploying LLM- and agent-based systems within a production environment.

● A huge passion for sports and sports analytics; previous experience working in sports companies or possessing deep football domain knowledge is a major advantage.