Director of Data & AI

LiveU is the global leader in live streaming and remote production, delivering high-quality, low-latency live broadcast solutions worldwide. We generate and process massive volumes of real-time device telemetry, operational data, and business metrics.

We are looking for an experienced, hands-on Director of Data & AI join our Information Systems Department. In this role, you will define and drive our enterprise Data, Analytics, and AI roadmap. In this role, you will bridge strategic vision with technical execution- building a scalable cloud data platform, operationalizing production-grade AI, and driving company-wide AI adoption to create measurable business impact.

Reporting to VP MIS

Location: Kfar Saba (hybrid)

Key Responsibilities :

• AI Enablement & Adoption: Lead company-wide AI literacy, change management, and adoption of GenAI tools (Copilot, ChatGPT Enterprise, custom agents) across R&D, Sales, Support, and Finance.
• Modern Data Platform: Architect and scale LiveU’s cloud data warehouse, unifying real-time device telemetry with enterprise systems and LivuU product (Salesforce, Priority ERP, AWS, and more).
• Applied AI & MLOps: Drive AI/ML initiatives from POC to production deployment (predictive models, RAG architectures, and AI agent workflows).
• Governance, Security & FinOps: Enforce data quality, security (GDPR, SOC 2), and AI guardrails while optimizing cloud compute and licensing costs.
• BI & Self-Service Analytics: Deliver executive-level dashboards and self-service BI capabilities for faster, data-driven decision-making.
• Leadership: Lead and mentor a team of data & AI engineers and analysts, fostering a culture of technical excellence and ownership.

• Experience: 7+ years in Data Engineering, BI, Data Science, or Technical Leadership,
• Managerial Experience: with 3+ years managing technical teams.
• Technical Depth: Proven hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks, or AWS Services) and ETL/ELT pipelines.
• Applied AI / GenAI: Practical experience deploying production ML models, LLMs, RAG systems, or AI agents.
• Systems Integration: Track record of integrating enterprise ecosystems (ERP, CRM) with large-scale telemetry and logs.
• Governance & Security: Familiarity with security, privacy, and compliance standards (SOC 2, GDPR).
• Communication & Leadership: Strong ability to influence cross-functional stakeholders and translate complex technical topics into business strategy.
• Education: B.Sc./M.Sc. in Computer Science, Information Systems, Engineering, or a related field.