AI and Cloud Director - Technology Consulting (AI, data and analytics)
BIP · London
- AI and Cloud Director
- Location: London / Hybrid
- Business: BIP UK
- Practice: xTech - AI, Data and Cloud
- Reporting to: UK xTech Leadership
- Employment type: Full time
About BIP UK
Founded in 2003, BIP is an international consulting firm with more than 6,000 professionals worldwide. BIP UK helps organisations navigate complex business challenges through digital transformation, innovation and strategic advisory services.
Our people bring together diverse skills, perspectives and expertise to deliver practical solutions and lasting value for clients. We are committed to high standards of delivery and ethical conduct, and to creating an inclusive environment where people can develop, contribute and make a meaningful impact.
About BIP xTech
BIP xTech is our global technology consulting team. We combine strategy, artificial intelligence and Generative AI, advanced analytics and cloud to deliver end-to-end transformation programmes, from strategy and design through to implementation and scale-up.
About the role
We are looking for an experienced AI and Cloud Director to grow our AI, Data and Cloud practice in the UK and help clients turn technology ambition into measurable business value at scale. This is a senior, client-facing leadership role combining strategy, solution shaping, delivery ownership, commercial growth and practice building.
You will bring strong expertise in AI and Agentic AI alongside deep cloud architecture experience. You will shape our UK go-to-market strategy, lead major technology transformation programmes, build senior client and partner relationships, and develop a high-performing multidisciplinary team.
Key responsibilities
Practice strategy and growth
- Define and execute the strategic direction for the UK xTech AI, Data and Cloud Centre of Excellence.
- Shape the service portfolio, propositions and reusable assets across AI, data and cloud, based on client demand and measurable outcomes.
- Own the practice's commercial performance, including pipeline, revenue, margin and utilisation.
- Work with BIP senior leadership to align UK priorities with the firm's global AI, data and cloud strategy.
Client and solution leadership
- Act as a trusted adviser to C-level clients, translating business priorities into practical AI, data and cloud solutions.
- Lead executive workshops, discovery and solution-shaping activities across complex, multi-stakeholder environments.
- Guide the design of enterprise solutions spanning Generative and Agentic AI, retrieval-augmented generation, automation, modern data architectures and cloud platforms.
- Lead engagements from proof of value through to production and scale, working with multidisciplinary teams.
Technology and delivery
- Set the technology and architecture direction across AI, data and cloud programmes, acting as the final escalation point for major design decisions.
- Ensure solutions are scalable, secure, cost-efficient, responsible and production-ready, with appropriate governance, monitoring and evaluation.
- Oversee AI adoption, cloud strategy and workload migration roadmaps across complex client technology estates.
- Manage a portfolio of engagements, maintaining accountability for delivery quality, business outcomes, risk, budgets and timelines.
Team partnerships and business development
- Build, lead and develop a multidisciplinary team of AI engineers, data specialists and cloud architects, including hiring, mentoring and capability development.
- Develop relationships with technology partners such as Anthropic, Microsoft, AWS and Google Cloud to create joint pipeline and co-delivery opportunities.
- Lead proposals, pitches, commercial models and thought leadership that grow BIP's AI and cloud offering in the UK.
- Promote knowledge sharing, professional certification and collaboration across BIP's international network.
About you
You will be a commercially minded technology leader who can move confidently between strategy, architecture and delivery. You will have the executive presence to challenge assumptions, create direction in ambiguous environments and build trust with senior business and technical stakeholders.
You are likely to have:
- At least ten years of experience across AI, data and analytics, cloud or technology consulting, including senior leadership responsibility.
- A strong track record of delivering large-scale AI, Generative AI, cloud or digital transformation programmes from strategy through to implementation and adoption.
- Credibility across both data and AI and cloud architecture, with the ability to set direction and challenge technical teams in each area.
- Experience building and scaling a practice or multidisciplinary team, including hiring, mentoring and capability development.
- Experience owning a commercial target and growing accounts through proposals, pitches and partner-led opportunities.
- A clear understanding of how AI and cloud can create business value, improve decision-making and transform processes, products or customer experiences.
- Excellent communication, presentation, stakeholder management and problem-solving skills at executive level.
- An entrepreneurial and collaborative approach, with the adaptability to work effectively across international and cross-functional teams.
Technical knowledge
- You should have deep knowledge across the following areas:
- Artificial intelligence, Generative AI and Agentic AI.
- Large language models, retrieval-augmented generation, AI agents, automation and enterprise AI patterns.
- Machine learning and advanced analytics.
- MLOps and LLMOps, including AI evaluation, monitoring and observability.
- Modern data architectures, data platforms and data products.
- Data governance, security, privacy and responsible AI.
- Cloud platforms including Microsoft Azure, AWS and/or Google Cloud, with deep expertise in at least one.
- Cloud-native architectures, microservices, containerisation including Docker and Kubernetes, and DevOps.
- Cloud strategy, adoption, workload migration, hybrid and multi-cloud environments, and FinOps.
- Cloud infrastructure, networking and security.
- API integration and enterprise architecture.
Preferred experience and qualifications
- A degree in computer science, engineering, mathematics, data science or a related field, or equivalent professional experience.
- Relevant AI, data or cloud certifications, such as Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer, Databricks certifications, Azure Solutions Architect Expert, AWS Certified Solutions Architect, Google Professional Cloud Architect or Certified Kubernetes Administrator.
- Experience leading large-scale AI, data, cloud or digital transformation programmes for enterprise clients.
- Experience in consulting or professional services, ideally with responsibility for a practice or profit and loss account.
- Experience working with hyperscaler partner ecosystems and co-sell programmes.
Why BIP?
At BIP, you will work on complex and high-profile data and technology transformation programmes for major organisations across multiple industries.
You will have the opportunity to shape modern data architectures from an early stage, work with a broad range of technologies and cloud platforms, and collaborate with experienced specialists across data engineering, analytics, AI and technology consulting.
You will also play an important role in the continued growth and development of BIP xTech and our Data Architecture capability.