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Director of Data & AI

Listed by LiveU

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Description

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 to 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. Requirements: Experience: 7+ years in Data Engineering, BI, Data Science, or Technical Leadership, 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. Show more Show less

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