About Moshe Uziel
Moshe is an AI technology leader at the Israel National Digital Agency, a former CTO, and the former Chief Data Scientist for TIMNA, Israel's national health research platform.
His career has moved from data and applied machine learning, through healthcare AI and private-sector technology leadership, to the challenge of building AI capabilities across government.
That path shaped a practical view of AI: models matter, but production impact also depends on infrastructure, governance, product decisions, permissions, evaluation, and organizational adoption.
Today, his work and writing focus on how complex organizations move beyond isolated pilots and build AI systems they can operate, govern, and improve over time.
Three stages that shaped how Moshe approaches AI leadership today.
Stat-Market, TIMNA and the Israel Ministry of Health
2017 - 2021
After joining Stat-Market as a data scientist, Moshe went on to lead data science for TIMNA, Israel's national health research platform. The work combined applied machine learning with secure research environments, hybrid infrastructure, and collaboration between research, technology, and public-health teams.
CTO at Stat-Market, Co-founder and CTO at umAI
2021 - 2024
In parallel technology leadership roles, he worked across AI development, architecture, product discovery, and delivery for enterprise, government, and insurance environments. These roles required translating business needs into practical systems while balancing product learning, delivery constraints, and limited resources.
AI Technology Leader, Israel National Digital Agency
2024 - Present
Today, Moshe leads technology work on shared AI capabilities for government, including GOVAI, the AI Expertise Center, infrastructure, governance, and adoption across government organizations. The focus is on turning AI from isolated projects into a capability that can be reused, governed, and operated over time.
Led the data science function and helped shape the research platform roadmap, spanning applied AI, secure research environments, and hybrid cloud and on-premises infrastructure.
Led a multidisciplinary product and R&D team across data science, software development, DevOps, and data engineering to deliver a national public-health system during the pandemic.
Turning pilots into repeatable organizational capabilities with ownership, processes, and measurable outcomes.
Designing agent roles, orchestration, permissions, memory, evaluation, and release controls for real work.
Connecting cloud, data, security, observability, and governance so AI can move safely into production.
Translating executive intent into an executable portfolio across healthcare, enterprise, and government.
Moshe writes from a practitioner's perspective about AI operating models, agentic systems, infrastructure, governance, public-sector transformation, and national AI strategy. He is a co-author of a Lawfare article proposing a layered framework for understanding global AI governance.
I write here in a personal capacity. My views are my own and do not represent any employer or organization.
For conversations about AI strategy, operating models, governance, infrastructure, or agentic systems.
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