Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Transformation & Strategy Lead

83data
London
9 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

AI / ML / Data Science Strategy & Delivery Lead (SM/D)

AI / ML / Data Science Strategy & Delivery Lead (SM/D)

Managing Consultant - FS - Data Science and AI

Managing Consultant - FS - Data Science and AI

Job Title:

Senior AI Transformation & Strategy Director


Location:

London Remote / Flexible, with occasional travel as needed


About the Role:


Our client, a leading strategy and innovation consulting firm, is seeking a Senior AI Transformation Leader to spearhead the growth and development of their AI Transformation practice. This role is ideal for a dynamic professional with elite consultancy experience who can build and scale the practice by acquiring new clients, leveraging their existing network, and driving measurable value.

This position is focused on creating and expanding a new client base, utilising a robust network of contacts to establish the practice’s reputation, deliver innovative AI-driven solutions, and enhance its market presence.


Key Responsibilities:


  • Building the Practice: Establish and grow the AI Transformation practice by acquiring new clients, leveraging an existing network, and developing innovative capabilities that differentiate the practice.


  • AI Strategy Development: Design and execute advanced AI strategies tailored to solve complex client challenges and unlock growth opportunities.


  • Business Development: Identify, pitch, and secure high-value new logos, driving the practice’s growth and market presence in the AI space.


  • Client Success Delivery: Lead multi-disciplinary teams to deliver impactful AI initiatives, ensuring alignment with client objectives and achieving measurable results.


  • Executive Collaboration: Partner with C-suite executives to align AI strategies with organisational goals, ensuring buy-in and advocacy for AI initiatives.


  • Thought Leadership: Position the practice as a leader in the AI domain through industry engagement, publications, and advocacy for responsible AI practices.


  • Capability Development: Recruit, mentor, and build a high-performing team within the AI practice, fostering innovation and operational excellence.


Required Experience and Skills:


  • Elite Consultancy Experience: Background with top-tier consulting firms with a focus on delivering transformative AI strategies.


  • Established Network: A strong black book of contacts within relevant industries, with the ability to leverage relationships to generate new business and build the practice’s reach.


  • Practice Building: Proven ability to establish and scale a practice or team, including acquiring new clients and developing innovative service offerings.


  • Business Development Expertise: Demonstrable success in securing high-value clients and creating lasting relationships in the AI or digital transformation space.


  • Strategic Leadership: Expertise in defining and executing AI strategies that deliver significant business outcomes.


  • C-suite Engagement: Experience working with senior executives to drive alignment and communicate the value of AI initiatives.


  • AI and Machine Learning Expertise: Strong understanding of AI models, frameworks, and analytics, with the ability to bridge technical and business perspectives.


This is a rare opportunity to lead and shape an AI practice from the ground up, leveraging your expertise and network to create meaningful impact. If you thrive on building relationships, delivering results, and driving innovation, we encourage you to explore this role further.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.