AI Transformation Manager

Dataworks; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Hybrid work model

London office

Job summary

Dataworks is partnering with a major international consumer technology business to recruit an AI Transformation Manager. The role focuses on turning AI opportunities into practical use cases and driving them from idea to implementation across digital products, customer experience, marketing and commercial operations.

You will lead a lean data team and collaborate with Product, Technology, Marketing, Commercial, Data and Finance to deliver measurable business outcomes and sustained AI adoption,

Qualifications

• Strong understanding of modern AI technologies and their practical applications.
• Experience identifying and implementing AI use cases.
• Experience working within a complex organisation.
• Strong commercial judgement and ability to prioritise opportunities.
• Ability to communicate with both technical teams and senior stakeholders.
• Experience taking initiatives from concept to implementation.
• Strong stakeholder-management and influencing skills.

Responsibilities

• Own the AI opportunity pipeline, identifying where AI adds value and prioritising opportunities.
• Take ideas into production, leading from exploration to adoption with technical teams.
• Bridge business and technology, translating commercial problems into clear AI use cases and communicating limitations to non-technical stakeholders.
• Influence senior stakeholders across the organisation to achieve alignment and funding for AI initiatives.

Skills

AI transformation

Applied AI

Technology transformation

AI product

Change management

Automation/operational transformation

Job description

Hybrid, 2 days per week in London office

£75k-£95k + Bonus on performance

Dataworks is partnering with a major international consumer technology business that is investing heavily in how AI is used across its commercial organisation.

They are looking for an AI Transformation Manager to take ownership of the AI agenda across a complex, high-volume business spanning digital products, customer experience, marketing and commercial operations.

This is not a pure strategy, governance or project-management role.

The focus is on identifying where AI can genuinely improve the business, turning those opportunities into practical use cases, and then helping take them from idea → proof of concept → implementation → adoption.

THE ROLE

You’ll sit within a small transformation team with broad exposure across the organisation, working with teams including Product & Technology, Marketing, Commercial, Data, Finance…

You’ll become a central point of contact for AI initiatives across the commercial organisation, helping senior stakeholders understand what is possible, where to prioritise investment and how to turn AI capabilities into measurable business outcomes.

You’ll manage a lean team of hands‑on data experts (Data Scientist, ML Engineer, Data Engineer).

THE ROLE

Own the AI opportunity pipeline

Identify business problems and processes where AI can drive commercial value, improve efficiency or enhance customer experiences.

Work with stakeholders to structure and prioritise opportunities based on impact, feasibility and strategic importance.

Take ideas into production

Lead AI initiatives from early exploration and proof of concept through to implementation and scaled adoption.

You’ll work closely with technical teams rather than simply handing over requirements and moving on.

Bridge business and technology

Translate complex commercial problems into clear technical use cases, while equally being able to explain AI capabilities and limitations to non-technical stakeholders.

A major part of the role is ensuring AI is actually used.

You’ll help embed new tools and capabilities into everyday workflows, educate teams and improve how colleagues use AI in their day-to-day roles.

Influence senior stakeholders

You’ll work across a large organisation with multiple teams, priorities and stakeholders, so the ability to create alignment and influence senior decision-makers is important.

YOUR PROFILE

The background can vary, but you’ll likely have experience in areas such as:

• AI transformation
• Applied AI / GenAI
• Technology transformation
• AI product or innovation
• Change Management
• Automation / operational transformation

You must have:

• Strong understanding of modern AI technologies and their practical applications
• Experience identifying and implementing AI use cases
• Experience working within a complex organisation
• Strong commercial judgement and ability to prioritise opportunities
• Ability to communicate comfortably with both technical teams and senior business stakeholders
• Experience taking initiatives from concept through to implementation
• Strong stakeholder-management and influencing skills
• An experimental mindset and willingness to test, iterate and learn quickly

You do not need to be a software engineer, but you should be technically credible enough to work effectively with engineering, product and data teams and understand what is realistically achievable.

WHY YOU SHOULD APPLY

• The scale is a major part of the opportunity.
• You’ll be working inside a global consumer business with significant technology and data capability, millions of customer interactions and multiple opportunities to apply AI across both internal operations and customer-facing experiences.
• Rather than joining a large standalone AI programme, you’ll be part of a small transformation team with the mandate to have an outsized impact. That means genuine ownership, senior exposure and the opportunity to shape how AI is adopted across a significant commercial organisation.

If you’ve been working at the intersection of AI, technology and business transformation and enjoy actually getting things implemented rather than stopping at PowerPoint, I’d be very interested in speaking.