Skip to main content

Practice Lead Of Data & AI : Asset Intelligence

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
nxzen
Sydney, NSW
Full Time / Permanent

Apply for this job

Posted 6 months ago
This role is expired

These roles are hiring now

View all similar roles →

Applied AI Engineer, Codex

OpenAI
Sydney, NSW
hybrid
  • Build AI solutions with Codex for enterprise engineering workflows
  • 5+ years software development, deployment, data or infrastructure engineering
  • AI coding tools, software engineering, cloud infrastructure, enterprise integrat
Posted 2d ago

AI Engineering Consultant

Practiv
Sydney, NSW | Melbourne, VIC
hybrid
  • Architect, build and deploy production-grade AI solutions for clients
  • Strong software engineering skills with Python and/or JavaScript
  • LLM frameworks, RAG, MCP servers, AI agents, cloud platforms
Posted 3d ago

Software Engineering Manager, AI and Infra

Google
Sydney, NSW
  • Lead AI infrastructure networking systems and manage engineering teams
  • 8+ years full-stack development, 3+ years technical leadership
  • Python, Go, Java, C++, TypeScript, AI infrastructure, networking systems
Posted 3d ago

GCP AI Engineer

NCS Australia
Sydney, NSW
hybrid
  • Design and develop autonomous AI agents with advanced reasoning capabilities
  • 5+ years AI/ML engineering experience with production deployments
  • GCP Vertex AI, RAG architectures, Knowledge Graphs, Gemini models
Posted 3d ago

Overview

nxzen (formerly Enzen Australia) is a global technology, consulting and engineering partner. We help energy, utilities, and national infrastructure providers optimise performance, digitise operations, and enhance resilience-combining deep domain expertise with innovative technology. Our purpose is to advance the national infrastructure that society depends on.

The Role

This role, will shape, build and enable the delivery of this proposition for all our target market in Australia (utilities, power companies, airports, rail, telco). It reports to the head of Digital and collaborates closely with our NNNCo colleagues who provide digital twin, communications and IoT solutions, and with our client Partners. The role is both market facing and works internally to build our capabilities.

Key Responsibilities

Key responsibilities for the role include:

Strategy & Growth

  • Define and execute the Asset Intelligence strategy, aligned to nxzen's business objectives and client needs.
  • Identify and prioritise opportunities to expand nxzen's footprint across utilities, energy, and infrastructure sectors. Work with Client Partners, clients and NNNCo to develop go-to-market solutions and bids that combine analytics, IoT, and asset performance improvement.

Client & Stakeholder Engagement

  • Act as a senior point of contact for key clients, building trusted relationships with operations, digital, and engineering leaders.
  • Support Client Partners and Delivery Directors in shaping client transformation journeys.
  • Represent nxzen externally at industry events, contributing to thought leadership and brand positioning.

Service & Solution Development

  • Shape the product and service roadmap, ensuring solutions are technically robust, scalable, and commercially competitive.
  • Maintain awareness of emerging technologies and trends (AI, IoT, 5G, edge computing, OT security) and translate these into practical client solutions.

Programme Delivery Oversight

  • Oversee successful delivery of Asset Intelligence programmes, ensuring outcomes are met on quality, cost, and schedule.
  • Implement strong governance, assurance, and performance metrics across projects.
  • Ensure operational compliance with security, safety, and regulatory requirements.

Skills & Experience

  • Extensive experience applying IEC CIM, ISO 14224, and Ops 4.0 frameworks to support asset intelligence and operational excellence initiatives.
  • Proven ability to operate across IT, OT, and ET environments, integrating diverse systems to drive digital transformation and enhance asset performance.
  • Hands-on experience managing, analysing, and deriving insights from IoT devices, OT systems, Digital Twins, simulation platforms, and asset health models (e.g., NARMS, CNAIM).
  • Demonstrated track record of leveraging integrated data to inform asset performance improvement, risk assessment, and strategic decision-making.
  • Skilled in collaborating with cross-functional teams and stakeholders to design and deliver technically robust, scalable, and commercially viable asset intelligence solutions.