LiveU
LiveU
LiveU develops live IP video solutions for broadcasters, sports organizations, and public safety teams. Its LiveU EcoSystem supports video contribution, production, and distribution, using the LiveU Reliable Transport protocol and IP bonding to provide low-latency, resilient connectivity over wireless networks. The company serves customers in more than 150 countries.

Director of Data and AI

Lead LiveU’s cloud data platform and production AI capabilities, building enterprise analytics and GenAI adoption. Oversee data governance, roadmap, and a team of data and AI professionals at the live-streaming company.

Сипаттама

  • Promote AI literacy and adoption of GenAI tools, including Copilot, ChatGPT Enterprise, and custom agents, across R&D, Sales, Support, and Finance.
  • Design and scale LiveU’s cloud data warehouse, combining real-time device telemetry with enterprise systems and products such as Salesforce, Priority ERP, and AWS.
  • Move AI and machine learning initiatives from proof of concept into production, including predictive models, RAG architectures, and agent workflows.
  • Maintain data quality, security compliance, and AI safeguards while managing cloud compute and licensing costs.
  • Build executive dashboards and self-service BI tools to support faster, data-informed decisions.
  • Manage and mentor data and AI engineers and analysts.
  • Set and advance LiveU’s enterprise data, analytics, and AI strategy.
  • Report to the VP of MIS.

Талаптар

  • Bring at least seven years of experience in data engineering, business intelligence, data science, or technical leadership.
  • Have at least three years of experience managing technical teams.
  • Demonstrate hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Databricks, or AWS services, and with ETL/ELT pipelines.
  • Have practical experience deploying production machine learning models, large language models, RAG systems, or AI agents.
  • Show a record of integrating enterprise systems such as ERP and CRM with large-scale telemetry and logs.
  • Be familiar with security, privacy, and compliance standards including SOC 2 and GDPR.
  • Influence cross-functional stakeholders and translate complex technical topics into business strategy.
  • Hold a bachelor’s or master’s degree in computer science, information systems, engineering, or a related field.