Enterprise Deployment Lead

Take complex software live in the world's toughest operations

You know how to get enterprise software live in a working mine or plant, and how to make it stick. You have seen where go-lives fail, you have earned the trust of operators in the control room, and you want to build the way it is done at scale. This is that role.

About IntelliSense.io

IntelliSense.io builds the decision intelligence platform that Tier 1 and Tier 2 mining and mineral processing leaders use to optimise their operations. Our platform, brains.app, combines scientific AI, geometallurgical models and autonomous agents to turn operational data into better decisions on site.

The role and why it matters

Software like ours only creates value when it is deployed well, in live operations with real constraints. Most companies treat deployment as a project phase; we treat it as a discipline with an owner. You will be one of a small, senior founding group of two to three Enterprise Deployment Leads, working across every delivery team. Your field experience will be turned into AI agents that automate configuration, data pipeline set-up and testing, so your scope grows faster than your headcount.

What you'll do

Build and maintain the playbook for deploying complex software into live operations: OT/IT integration, data and network access, site readiness, cutover, adoption and hypercare.
Run the site-readiness gate: define what must be true on site before a deployment starts, and who signs it off.
Lead each new site's first deployment from kick-off to go-live, with the commercial, process-domain and technical leads for that site.
Manage plans, risks and customer stakeholders across operations, maintenance, IT/OT and metallurgy.
Run go-live, cutover and hypercare, then hand over to Service Delivery with a clean acceptance record.
Lead one QA function across all delivery teams: test, release and acceptance standards, automated through our agent layer where possible.
Feed the lessons from every deployment to our architecture and AI engineering teams.

What you'll bring

Essential

Extensive experience (typically 10 years or more) deploying complex enterprise software, such as MES, ERP, historian, APC or similar, into live industrial or operations-heavy environments.
A track record of leading multi-stakeholder go-lives through cutover and hypercare, and a clear view of where these programmes fail.
Hands-on experience with OT/IT integration, site readiness, data access and change management with operators.
Experience setting test, release and acceptance standards, or leading a QA function across teams.
Credibility on site with operations and maintenance leaders, and the ability to travel regularly to sites in your region.
Based in, or willing to relocate to, the region you will cover, with the right to work there.
High integrity, transparent communication, low politics and a bias for execution.

Strong advantage

Mining, mineral processing or heavy industry experience.
Deploying AI or advanced process control into a control-room workflow.
Using agents and automation to speed up configuration and testing.
Tier 1 mining customers and long, regulated site procedures.
Spanish, Portuguese or Arabic.

Don't tick every box? If you have taken complex software live in demanding operations, we would still like to hear from you.

What we offer

Unlimited holidays: we trust you to manage your time and energy.
True flexibility: work in the way that brings out your best results.
Performance bonuses: real rewards for results that move the company.
A diverse team across the UK, Ireland, Spain, Chile, Saudi Arabia, Australia and beyond.

Location

Cambridge, UK, hybrid.

Our hiring process

An HR conversation, a technical interview, a short case study you present to the team, a meeting with the CEO and references. We endeavour to complete the hiring process in approximately 8 weeks and will keep you updated at every stage.

Inclusion

IntelliSense.io is an equal opportunity employer. We welcome applications from people of all backgrounds. If you need any adjustments during the process, just tell us.