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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
30,000-45,000 ₪
We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do:
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do:
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.
Requirements:
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
בני ברק
ערב
3 חודשים
