Head of AI

Join the revolution in hospitality tech!

Liven is a leading global data, technology, and customer experience provider for the hospitality industry. From humble beginnings, we have grown to serve over 6,000 venues and millions of diners across Australia, the USA, and Southeast Asia, processing over 120 million transactions worth more than $3 billion (AUD) annually.

At Liven
, our platform is built to help hospitality businesses save more and work smarter by seamlessly integrating every aspect of their operations — from ordering and payments to back‑of‑house management
.

Driven by a deep passion for the hospitality industry, we continuously innovate to elevate the experience for both venues and their guests. Our solutions are powered by AI‑enriched insights and automated workflows
, enabling smarter decision‑making and smoother operations at scale.

We’re proud to be an AI‑first organisation
. By automating repetitive tasks, we free up space for our teams — and our customers — to focus on what truly matters: solving complex problems, delighting guests, and driving meaningful growth.

• Expansion:
  Acquired Order Up, Abacus, Zeemart, Copper and Nomnie, forming Asia Pacific’s largest end‑to‑end group in hospitality technology.
• Global Reach:
  From Melbourne to New York, Singapore to Jakarta, and all the way to Chennai, our presence spans major cities across the globe.

At Nomni, we believe AI will fundamentally redefine how hospitality businesses operate, engage guests, and make decisions. As the Head of AI
, you will lead Nomni’s transformation into an AI‑native company by building the foundational data, machine learning, and AI capabilities that power every product, customer interaction, operational workflow, and business decision. You will own the vision, architecture, and execution of the platforms that enable real‑time intelligence, machine learning, recommendation engines, personalisation, forecasting, agentic workflows, and generative AI experiences across the organization.

• Define and execute Nomni’s company‑wide AI and Data Platform strategy.
• Establish a multi‑year vision for AI capabilities, intelligent automation, and data‑driven decision‑making.
• Identify and prioritise high‑impact AI opportunities across products, customer experiences, operations, and internal functions.
• Drive adoption of AI‑first product development and engineering practices across the organisation.
• Partner with executive leadership to ensure AI initiatives align with business goals and growth objectives.
• Build and scale the infrastructure required to support machine learning, generative AI, LLM‑powered applications, and autonomous agent systems.
• Design and operate modern data platforms supporting analytics, real‑time intelligence, and AI workloads.
• Establish frameworks for model training, evaluation, deployment, monitoring, governance, and lifecycle management.
• Develop and maintain feature stores, vector databases, retrieval systems, model serving platforms, and AI orchestration frameworks.
• Build systems that enable intelligent automation and real‑time decision‑making at scale.
• Enable AI capabilities across Nomni products, including:
  Personalisation and recommendation systems;
  Customer intelligence and segmentation;
  Forecasting and predictive analytics;
  Conversational AI and copilots;
  Generative AI experiences;
  Operational automation and agentic workflows.
• Partner with Product teams to bring AI‑powered features from concept to production.
• Establish experimentation frameworks to measure AI effectiveness, customer impact, and commercial outcomes.
• Define the architecture and operating model for Nomni’s data ecosystem.
• Improve data accessibility, quality, observability, reliability, and discoverability across the organisation.
• Establish enterprise‑wide standards for data governance, privacy, security, and compliance.
• Develop responsible AI frameworks covering explainability, fairness, monitoring and risk management.
• Ensure AI and data systems meet regulatory and industry best practices.
• Build, mentor, and scale high‑performing teams across Data Engineering, Machine Learning, Analytics Engineering, and AI Platform…