Director in Applied AI (TMT)

Location

Aberdeen, Belfast, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gatwick, Glasgow, Guernsey, Ipswich, Isle of Man, Jersey, Leeds, Liverpool, London, Manchester, Milton Keynes, Newcastle, Nottingham, Port Talbot, Reading, Southampton, St Albans

Business Line

Technology & Transformation

Job Type

Permanent / FTC

Date published

07-May-2026

Req #

23195

Connect to your Industry

Deloitte's AI & Data practice helps organisations unlock measurable value from data, automation and artificial intelligence, re-engineering products, platforms and operations to improve performance and accelerate speed to market. Within our Telecoms, Media & Technology (TMT) industry, we work with leading brands to apply AI in ways that reduce operating costs, improve customer and network outcomes, and create new digital products and revenue streams.

Our AI & Data team brings strategy, product thinking and engineering delivery together, shaping AI roadmaps, designing and deploying secure AI solutions, and supporting responsible adoption through governance, controls and change. We work closely with clients' business and technology leaders and with multi-disciplinary engineering teams to deliver outcomes across the full lifecycle from idea to scaled deployment.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It's how we approach thousands of decisions we make every day. How we behave, our beliefs, and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, welead the way ,serve with integrity ,take care of each other ,foster inclusion , andcollaborate for measurable impact .

These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

Connect to your opportunity

As a Director in Applied AI within our AI & Data team, you will set the growth strategy and lead a portfolio of Applied AI programmes across our major Telecoms, Media & Technology (TMT) clients. You will originate and shape high-value opportunities, build and take to market differentiated offerings, and sponsor multi-disciplinary teams to deliver secure, responsible and scalable AI outcomes. You will operate as a trusted advisor to C-suite leaders, accountable for commercial performance, delivery excellence and the development of our people and capability.

• Telecoms
• Media & Entertainment
• Technology

As a Director in Applied AI (TMT), you will be responsible for:

• Owning the TMT Applied AI growth strategy across priority accounts, setting origination targets, and leading pursuit teams from executive relationship development through to proposal, negotiation and close.
• Building and scaling market-facing offerings (including GenAI and advanced analytics), defining value propositions, pricing approaches and delivery models, and partnering with alliance and engineering leaders to industrialise solutions.
• Operating as a senior trusted advisor to C-suite stakeholders, shaping AI-enabled business and operating-model change and translating model capabilities into measurable financial, customer and operational outcomes.
• Providing executive sponsorship for complex, multi-workstream AI programmes, ensuring strong governance, risk management, delivery assurance and benefits realisation across the portfolio.
• Setting the standards for secure and responsible deployment of large language models and associated tooling, ensuring appropriate controls, testing, monitoring, model-risk management and data protections are embedded in our delivery approach.
• Championing Responsible AI and regulatory readiness for clients, including governance for privacy, bias, explainability, human oversight and third-party model usage, and advising on control frameworks and assurance needs.
• Leading, developing and retaining senior consulting talent, building a high-performing team and capability pipeline, and holding accountability for commercial management, utilisation, quality and margin performance.

Connect to your skills and professional experience

Commercial and technical requirements

• Proven track record of leading and closing large, complex consulting sales and owning senior client relationships across major Technology, Media or Telecommunications accounts (including multi-year transformation programmes).
• Deep commercial and technical understanding of generative AI and the modern AI stack, including large language models, prompt engineering, retrieval-augmented generation (RAG), vector databases, evaluation/monitoring and MLOps principles, with the ability to shape investment cases and operating models at scale.
• Extensive experience providing executive oversight for production AI delivery (you steer architecture and engineering leadership rather than writing code), with accountability for programme outcomes, delivery assurance, risk management and benefits realisation.
• Strong sector experience applying AI to high-impact TMT use cases, for example: telco operations and customer service, network planning and assurance, media supply chains and content operations, or software engineering productivity and developer tooling.
• Strong understanding of major cloud platforms (AWS, Azure or GCP) and their generative AI services, plus the security, data, compliance and operating-model considerations required for enterprise deployment across complex organisations.
• Exceptional executive communication skills, with the ability to influence senior stakeholders on business impact, risk, controls, cost, time-to-value and organisational adoption, and to represent Deloitte in client leadership forums.

The following will be an added advantage:

• Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).
• Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.
• Consulting experience leading multi-workstream programmes, including commercial management, estimation and delivery margin control.
• Experience operating in Agile environments and collaborating with product and engineering teams to deliver iterative value.
• Additionally, we...