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
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