AI Programme Director

AI Programme Director

Full-Time 61873 - 75623 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead enterprise AI transformation programmes and drive large-scale AI delivery.
  • Company: Leading technology consultancy with a focus on innovative AI solutions.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Join a dynamic team and shape the future of AI across various industries.
  • Why this job: Make a significant impact by transforming AI initiatives into scalable, production-ready programmes.
  • Qualifications: Proven experience in AI transformation and strong stakeholder management skills.

The predicted salary is between 61873 - 75623 £ per year.

AI Programme Director

Salary

Location

London or Bristol

Type

  • Hybrid
  • We are supporting a leading technology consultancy that is hiring an experienced

AI Programme Director to lead enterprise AI transformation, Gen AI adoption, and large-scale AI delivery across complex client environments.

This opportunity is ideal for a senior AI transformation leader with proven experience taking AI programmes from business use case through to delivery, governance, adoption, and measurable value realisation.

The role will suit someone who can work closely with executive stakeholders, business sponsors, product teams, legal, procurement, technology, architecture, and change teams.

AI Programme Director Role Overview

As an AI Programme Director, you will be responsible for leading enterprise AI transformation programmes from strategy through to implementation and adoption.

You will shape AI roadmaps, define governance models, manage executive steering, support funding gates, and ensure AI initiatives move successfully from proof of concept into production.

The role requires someone with strong experience across Gen AI, agentic AI, AI governance, operating model transformation, responsible AI, enterprise adoption, and programme delivery within large, regulated, or complex organisations.

Key Responsibilities

  • Lead enterprise AI and Gen AI transformation programmes from strategy through to production rollout.
  • Own delivery governance across AI use cases, operating models, adoption plans, and executive reporting.
  • Work with senior stakeholders, sponsors, Steer Co members, product leaders, legal, procurement, technology, and change teams.
  • Shape AI roadmaps, business cases, funding gates, rollout playbooks, and value realisation plans.
  • Lead AI adoption programmes across large user groups, business functions, and multi-country environments.
  • Support responsible AI governance, risk management, compliance, bias review, GDPR alignment, and AI approval processes.
  • Oversee delivery of Gen AI, agentic AI, Copilot, enterprise search, intelligent automation, and AI assistant use cases.
  • Drive transformation across operating models, cultural adoption, workforce enablement, and business process improvement.
  • Ensure AI programmes are scalable, secure, compliant, measurable, and aligned to business outcomes.
  • Manage delivery teams across architecture, data, product, HRIS, technology, governance, and change functions.
  • Required Skills and Experience for this AI Programme Director Role
  • Strong experience as an AI Programme Director, AI Transformation Director, Gen AI Programme Lead, Digital Transformation Director, or senior AI delivery leader.
  • Proven experience leading AI transformation programmes from use case discovery through to delivery and adoption.
  • Strong understanding of Gen AI, agentic AI, enterprise AI assistants, intelligent automation, AI governance, and responsible AI.
  • Experience working with executive stakeholders, Steer Co groups, sponsors, CPOs, legal teams, procurement teams, product teams, and technology leaders.
  • Ability to define AI operating models, governance frameworks, adoption strategies, rollout plans, and value measurement.
  • Experience delivering AI programmes in enterprise, consulting, financial services, legal, banking, or highly regulated environments.
  • Strong programme leadership across funding gates, stakeholder management, delivery governance, risk, and change.
  • Excellent communication skills and the ability to operate confidently in client-facing environments.

Desirable Skills

  • Experience with Microsoft Copilot enterprise adoption, Service Now automation, SAP Joule, Open AI, Anthropic, or enterprise LLM ecosystems.
  • Knowledge of EU AI Act, GDPR, responsible AI, AI risk management, bias review, explainability, and compliance frameworks.
  • Experience delivering AI governance boards, AI approval processes, champion networks, enablement programmes, and adoption dashboards.
  • Background in consulting, enterprise transformation, operating model design, or cultural change for AI adoption.
  • Experience with enterprise knowledge management, AI-powered search, workflow automation, performance analytics, fraud detection, AML, or compliance monitoring use cases.
  • Why This Role

This is an opportunity to lead major AI transformation work across enterprise clients.

You will help organisations move from isolated AI experiments to governed, scalable, production-ready AI programmes with clear adoption, risk controls, and measurable outcomes.

The role offers the chance to work on high-impact AI initiatives across areas such as enterprise AI assistants, AI governance, intelligent automation, knowledge management, adoption analytics, and enterprise-wide Gen AI rollout.

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AI Programme Director employer: Software Search

Join a leading technology consultancy that values innovation and collaboration, offering a dynamic hybrid work environment in London or Bristol. As an AI Programme Director, you will not only lead transformative AI initiatives but also benefit from a culture that prioritises employee growth, continuous learning, and meaningful contributions to high-impact projects. With competitive compensation and a commitment to responsible AI practices, this role provides a unique opportunity to shape the future of enterprise AI while advancing your career in a supportive and forward-thinking organisation.

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Contact Details:

Software Search Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Programme Director

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Software Search or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Software Search.

Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Software Search that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Programme Director

AI Transformation Leadership
GenAI Expertise
AI Governance
Enterprise AI Adoption
Stakeholder Management
Delivery Governance
Risk Management

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Software Search.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Software Search and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Software Search

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Software Search uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.