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# Service Design Lead- AiOps

- **Company:** SSE plc
- **Location:** Portsmouth, United Kingdom
- **Experience:** Expert
- **Salary:** £51,600 - £77,400
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Technology Operations, Service Design, AI Platforms, AIOps, Servicenow
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fd0784eef2b39602

## About the Role

* Experience designing and delivering AI, automation or operational intelligence solutions within complex enterprise environments.
 * Strong understanding of IT operations, cloud platforms, observability, monitoring and service management practices.
 * Knowledge of AI technologies and their practical application to operational challenges.
 * Experience engaging with senior stakeholders and translating business requirements into technical solutions.
 * Strong analytical and problem-solving skills with the ability to balance innovation and risk.
 * Excellent communication, leadership and collaboration skills, with experience influencing across technical and non-technical teams.

## Description

As Design Lead - AI Ops, you will lead the design, adoption and continuous evolution of AI-powered operational capabilities across the ServiceNow platform. You will work with product owners, architects, engineers and business stakeholders to embed AI, automation and predictive operations into core IT and business processes, improving service performance, user experience and operational efficiency. The role will shape how SSE leverages ServiceNow AI capabilities to deliver scalable, secure and future-ready digital services across the enterprise.
You will

 * Lead the design and implementation of AI Ops capabilities across SSE's technology estate.
 * Define target operating models, standards and best practices for AI-driven operations.
 * Collaborate with architects, engineers, data specialists and business stakeholders to deliver AI-based solutions.
 * Ensure AI platforms and services are secure, compliant, resilient and aligned to enterprise architecture.
 * Drive continuous improvement through automation, predictive analytics and operational insights.
 * Provide technical leadership and guidance to internal teams and delivery partners.