AI & Spatial Intelligence Lead

Overview

In this role you will lead the design and delivery of AI-first spatial solutions that fuse data engineering, analytics, ML, and intelligent agents with enterprise geospatial platforms. You will shape engagements, grow the pipeline, and build a differentiated spatial AI capability for asset-intensive industries. Expect leadership across data strategy, architecture, and delivery, with client-facing responsibilities and measurable value outcomes. You will work with cross-functional teams to turn complex data into trusted decisions and automated workflows, shaping the company’s spatial AI agenda.

Pay / Benefits

• 30 days vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work

Responsibilities

• Lead AI and spatial intelligence advisory, data strategy, architecture, experimentation, and delivery engagements from opportunity shaping through managed delivery
• Architect end-to-end data flows and data products across GIS, EAM, CMMS, SCADA, IoT, imagery, and enterprise data platforms ensuring quality, interoperability, lineage, and spatial integrity
• Design and deploy analytics and AI solutions for network analysis, geostatistical modelling, anomaly detection, predictive risk scoring, computer vision, route optimisation, and investment optimisation
• Define and implement intelligent agents that support planners, engineers, field teams, and executives via contextual search, scenario analysis, recommendations, workflow orchestration, and decision support
• Lead enterprise GIS and spatial AI solutions using ESRI ArcGIS Pro, Enterprise and Utility Network, GE Smallworld, cloud data platforms, APIs, and modern AI services
• Build and qualify a pipeline of AI and geospatial opportunities across AMP8, RIIO-3, and major capital programmes; lead proposals, demonstrations, executive workshops, and value cases
• Recruit and mentor multidisciplinary teams; establish standards, toolkits, and reusable delivery methods

Key requirements

• Deep experience delivering AI, analytics, data engineering, or enterprise geospatial solutions with ESRI ArcGIS and/or GE Smallworld
• Proven ability to integrate GIS with EAM, CMMS, SCADA, IoT, cloud data platforms, and analytics environments
• Experience designing robust data models, pipelines, APIs, and governed data products
• Hands-on understanding of ML and spatial analytics including anomaly detection, predictive risk, optimisation, computer vision, and digital twins
• Knowledge of generative AI, retrieval-augmented generation, knowledge graphs, agents, evaluation, guardrails, and responsible AI controls
• Commercial consulting mindset: problem framing, value quantification, proposition shaping, winning proposals, and senior stakeholder delivery
• Sector experience in utilities, water, energy, natural resources, transport, or infrastructure
• Relevant degree or equivalent professional experience; ESRI, cloud, data, or AI certifications desirable

• Commercial acumen
• Stakeholder management
• Mentoring and team leadership
• ESRI ArcGIS Pro; ArcGIS Enterprise; ESRI Utility Network
• GE Smallworld
• Geospatial data modeling

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