AI-First Engineering Transformation Lead

AI-First Engineering Transformation Lead

Hammersmith (London), UK, England, United Kingdom

Who Are We

Hansen (ASX: HSN) is a global provider of software and services to the communications, media, energy, and utilities industries. Supporting more than 600 customers across 80+ countries, our platforms power critical business processes—from customer engagement and revenue management to product innovation and service delivery.

Today, the software industry is entering its next major evolution. AI is fundamentally changing how software is designed, developed, tested, and operated. At Hansen, we are embracing that shift and investing in the transformation from traditional software engineering to AI-first engineering.

This role sits at the centre of that journey.

Transform Engineering. Shape the Future. Build the AI-Native Software Organization.

As our AI-First Engineering Transformation Lead, you'll be responsible for helping Hansen redefine how software is built across our Communications & Media portfolio. Working closely with the Office of the CTO, engineering leaders, architects, and development teams, you'll drive the transition from traditional development practices toward AI-native engineering workflows.

We're looking for someone who combines deep technical credibility with the ability to lead organizational change. You'll operate as a player‑coach, working directly with engineering teams while influencing leaders across the organization to adopt new ways of working.

Your impact will be measurable through improved developer productivity, faster delivery cycles, higher software quality, and the successful adoption of AI‑powered engineering practices across Hansen.

What You'll Do

Lead Hansen's AI-First Engineering Transformation

• Drive the evolution from traditional SDLC practices to AI-first software development
• Define and implement scalable AI-enabled engineering workflows and operating models
• Establish repeatable patterns for AI-assisted and AI-native software development
• Partner with engineering leadership to embed AI into everyday engineering practices

Work Hands-On with Engineering Teams

• Operate as a player‑coach alongside developers, architects, and technical leaders
• Implement and optimize tools such as Git Hub Copilot Enterprise, Claude Code, and emerging AI engineering platforms
• Build reference implementations, prototypes, and proof‑of‑concepts that showcase best practices
• Identify opportunities to automate engineering activities across the software lifecycle

Accelerate AI Adoption Across the Organisation

• Foster an AI-first mindset within engineering teams
• Coach engineers on the transition from AI-assisted development to AI-native engineering
• Create training programs, playbooks, frameworks, and enablement materials
• Act as a trusted advisor to engineering leaders and teams throughout the transformation journey
• Define engineering guardrails for responsible AI adoption
• Develop best practices around:
  • Code quality and validation
  • Security and IP protection
  • Compliance, auditability, and traceability
• Collaborate with architecture and platform teams to integrate AI capabilities into core engineering ecosystems

Measure and Scale Success

• Define and monitor key transformation KPIs, including:
  • AI tool adoption rates
  • Developer productivity improvements
  • Development cycle time reduction
  • Software quality metrics
• Use measurable outcomes to continuously improve tooling, processes, and ways of working

What You Bring

• Experience implementing AI-first or AI-native engineering models
• Proven experience leading engineering transformation initiatives at scale
• Strong software engineering background with hands‑on technical credibility
• Practical experience with AI-powered development tools such as Git Hub Copilot, Claude Code, Cursor, or similar platforms
• Deep understanding of modern engineering practices including Agile, Dev Ops, CI/CD, cloud-native architectures, and platform engineering
• Experience driving change, influencing stakeholders, and introducing new engineering ways of working
• Strong communication skills with the ability to engage engineers, architects, and executive leadership alike
• Solid understanding of large language models…