Data Infrastructure Team Lead (AI)

TL;DR

Data Infrastructure Team Lead (AI): Leading a multidisciplinary team to build, productionize, and improve big data and analytics infrastructure with an accent on team delivery and AI-first engineering. Focus on designing reliable systems, implementing agile workflows, and scaling engineering standards.

Location: Hybrid model in Ramat Gan (Bursa area), Israel

Company

AI-driven platform focused on improving drug discovery and development by decoding the human immune system.

What you will do

• Lead, manage, and develop a data infrastructure team of 5-7 multidisciplinary engineers.
• Take full responsibility for team delivery, including planning, prioritization, and execution.
• Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
• Implement AI-first engineering practices, including automation and AI-assisted development workflows.
• Partner with cross-functional stakeholders across technical, scientific, and business interfaces.
• Drive improvements in technical quality, delivery predictability, and agile scrum-based practices.

Requirements

• Proven experience in people management and developing engineering teams.
• Strong technical depth in big data, analytics infrastructure, and production systems.
• Expertise in leading agile ways of working and scrum-based delivery.
• Ability to support architectural decisions across cloud infrastructure and data pipelines.
• Must be based in or able to work in a hybrid model in Ramat Gan, Israel

Culture & Benefits

• Collaborative environment combining biology, AI, and engineering expertise.
• Inclusive work culture as an equal opportunity employer.
• Mission-driven work aimed at reducing drug development failure rates to help patients.
• Focus on professional growth and a supportive environment for team improvement.