C
HR Data and AI Lead
Not specifiedFull-timeData SciencePublic Safety Technology
Own the HR AI roadmap and governed data foundation, building AI agents, automations, and self-service data products while advising HR on responsible AI use.
Responsibilities
- Own and prioritize the HR AI roadmap, including build-versus-buy and tool-selection decisions.
- Design, build, and launch AI agents, automations, and self-service data products.
- Define agent behavior, data access, success criteria, and standards for HR AI development.
- Own the governed HR data model and shared definitions for headcount, attrition, and organizational metrics.
- Define data access controls and ensure privacy, security, responsible-AI, and audit requirements are met.
- Advise HR teams on AI development and improve AI fluency through enablement and coaching.
- Represent HR technology in IT and business applications prioritization.
- Translate HR business needs into technical requirements and partner with IT on architecture and security.
Requirements
- At least 6 years of experience in People Analytics, HR Technology, Data Analytics, Business Intelligence, or a related field with substantial HR data exposure; significant experience leading HR data, analytics, or technology initiatives may also qualify.
- Demonstrated success delivering AI-powered products, automations, or self-service solutions from concept through implementation.
- Hands-on experience designing, building, and launching data products, automations, or AI solutions with measurable business impact.
- Experience with modern AI technologies, such as LLM-based agents or enterprise AI assistants.
- Experience with cloud data platforms and business intelligence tools; Snowflake experience is preferred.
- Strong understanding of HR systems, data structures, and APIs; HiBob experience is advantageous.
- Ability to translate business requirements into scalable data and AI solutions and bridge HR and technical stakeholders.
- Fluency in English and Hebrew.
Nice to have
- Experience with Power Automate, Power Apps, or similar low-code platforms.
- Experience enabling non-technical colleagues to build with AI tools.
- Background in compensation, workforce planning, or organizational data models.
- Experience deploying AI in regulated or privacy-sensitive environments.
- Experience working across global, cross-cultural, distributed HR teams.