About this role
Nobian - - Working at Nobian Nobian is building AI into the operating model of its capital project controls function, and we need someone to make it real. This role sits at the intersection of PMO controls expertise and AI implementation. You will own the digital and AI layer of Project Controls: identifying what to automate in cost estimation, scheduling, and PMO reporting, and then building and embedding the tools to do it. You are not a generalist improvement manager. You understand cost engineering and scheduling well enough to know exactly what to automate, and you have the technical capability to go build it. Your challenge - Design and deploy AI tools and agents that automate repeatable PMO tasks, cost estimation, schedule baseline generation, variance flagging, gate pack assembly, with human review at defined decision points. - Own the data layer: SAP connectivity, data quality, and the infrastructure that makes AI-assisted controls possible. - Translate NPM framework requirements into digital workflows and automated artefacts, digitising gate requirements, controls standards, and reporting obligations. - Build AI literacy across the controls team and the wider Projects & Engineering organisation, helping engineers, planners, and project directors understand and interrogate AI-generated outputs. - Run structured pilots, measure what works, and scale it, turning experiments into repeatable institutional capability. Your responsibilities - Working knowledge of capital project cost estimation and controls, cost, schedule, risk, in a live project delivery environment; - Hands-on experience building digital tools or automations: Power BI, Python, SAP integration, or similar; - Practical experience with AI implementation, including agentic AI or multi-step AI workflows, not just AI-assisted single tasks; - You came up through PMO or project controls and moved into digital/AI, or the reverse; - You can read a project cost report...