Senior Manager/Director

About the role

The role translates emerging AI capabilities into enterprise-scale strategies that reshape public services and build long-term organisational capability. You will own the end-to-end delivery of high-impact AI and data initiatives within government and public sector environments, ensuring solutions are robust, scalable, and strategically aligned. This position requires you to bridge technical depth with executive perspective, converting complex analytical concepts into clear pathways for adoption. You will be accountable for developing and leading cross-functional teams that design, implement, and sustain data-driven transformation programmes. The focus is on creating tangible value from data and AI while navigating the unique constraints of the public sector. You will play a pivotal role in shaping the firm's practice direction and market positioning in the rapidly evolving AI landscape. Success in this role will be defined by your ability to drive measurable outcomes and build durable client partnerships.

Key facts

What you'll do

Shape and win business development pipelines across Government to build a sustainable flow of AI transformation work.

Lead large-scale transformation, digital, data, or AI-enabled change programmes within government, healthcare, or wider public sector organisations from conception to delivery.

Develop and maintain trusted relationships with senior stakeholders, including Directors, Deputy Directors, Executives, Boards, and Programme Leaders, to ensure alignment and influence.

Drive the movement of organisations from AI experimentation to scaled, organisation-wide adoption, embedding sustainable governance, capability, and operating models.

Identify, shape, and win consulting opportunities, including proposition development, sales, account growth, and commercial leadership in public sector contexts.

Credibly communicate AI ecosystem opportunities and limitations to senior audiences, referencing tools such as Microsoft Copilot, ChatGPT, Claude, and related technologies.

Translate emerging technology and AI trends into practical client offerings, thought leadership, and commercial opportunities that deliver clear client value.

Build and lead high-performing teams, coaching and developing others to maximise impact, capability, and potential across diverse public sector environments.

Combine commercial awareness, client intimacy, and delivery excellence to create lasting client impact and grow the Government practice over time.

Own the end-to-end delivery of data and AI initiatives, ensuring solutions are aligned with policy considerations, governance models, procurement processes, information governance, and security requirements.

Navigate organisational constraints within the public sector to ensure that data strategies and AI solutions are practical, adoptable, and sustainable.

Champion continuous learning and professional development to keep the practice at the forefront of data, analytics, and AI innovation.

Requirements

You must have led large-scale transformation, digital, data, or AI-enabled change programmes within government, healthcare, or wider public sector organisations.

You must have developed and maintained trusted relationships with senior stakeholders, including Directors, Deputy Directors, Executives, Boards, and Programme Leaders.

You must possess a deep understanding of government operating environments, including policy considerations, governance models, procurement, information governance, security, and organisational constraints.

You must have the ability to move organisations from AI experimentation to scaled, organisation-wide adoption, embedding sustainable governance, capability, and operating models.

You must have experience identifying, shaping, and winning consulting opportunities, including proposition development, sales, account growth, and commercial leadership.

You must be able to credibly communicate AI ecosystem opportunities and limitations to senior audiences using tools such as Microsoft Copilot, ChatGPT, Claude, and related technologies.

You must have a proven track record of translating emerging technology and AI trends into practical client offerings, thought leadership, and commercial opportunities.

You must have the capability to build and lead high-performing teams, coaching others to maximise impact and potential in complex public sector settings.

You must combine commercial awareness, client intimacy, and delivery excellence to create lasting client impact and grow practice areas over time.

You must hold a degree as a baseline qualification for this position.

You must be based in or able to work from London, United Kingdom, with occasional cross-government collaboration.

You must have a minimum of 5+ years of experience in relevant domains such as data, analytics, AI, or digital transformation within public sector contexts.

You must be able to demonstrate experience in governance, procurement, and information security within government or highly regulated environments.

You must show evidence of leading change and influencing at scale with senior stakeholders.

You must have strong analytical and problem-solving capabilities, with the ability to interpret complex data and translate it into actionable insights.

You must communicate effectively, both verbally and in writing, to diverse audiences including technical and non-technical stakeholders.

You must be able to work independently and as part of a collaborative team in a fast-paced, matrixed environment.

You must be committed to maintaining the highest standards of professionalism, integrity, and confidentiality in handling sensitive public sector information.

You must be willing to engage in continuous professional development to keep pace with emerging technologies and methodologies in data and AI.

Practical notes

This role is based in London, United Kingdom and targets professionals with 5+ years of experience in relevant domains. A degree is required as a baseline qualification for this position. You will work across health and other public sector domains, with occasional cross-government collaboration. Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.