At a Glance
- Tasks: Lead AI transformation projects and shape enterprise strategies for major organisations.
- Company: Join a forward-thinking AI Strategy team at the forefront of enterprise AI.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for professional growth.
- Other info: Contribute to meaningful causes with every CV sent to clients.
- Why this job: Make a real impact by embedding cutting-edge AI solutions into business operations.
- Qualifications: Proven experience in Data, AI, and Analytics transformation with strong leadership skills.
The predicted salary is between 81000 - 99000 £ per year.
London, Manchester or Glasgow / Hybrid
£90k - £120k + bonus and benefits
Are you a senior Data, AI or Analytics leader who can turn the potential of AI into measurable business transformation? This is an opportunity to join a forward-thinking AI Strategy team at the forefront of enterprise AI. You'll work with major organisations to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value.
You'll combine strategic thinking, consulting expertise and deep Data & AI knowledge to advise executive and C-suite stakeholders, shape enterprise AI strategies and lead transformation from strategy through to execution.
- Lead enterprise AI transformation, identifying and prioritising high-value opportunities, shaping AI strategies, investment cases and roadmaps, and helping organisations progress from experimentation to enterprise-scale adoption.
- Advise senior stakeholders, acting as a trusted partner to business leaders and C-suite executives while translating complex AI opportunities into clear business outcomes, measurable value and adoption strategies.
- Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences.
- Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes.
- Establish responsible AI at scale, shaping governance, security, evaluation and operational practices that make AI solutions reliable, safe and continuously improvable in production.
- Drive commercial and practice growth, leading proposals, RFPs, bids and client pitches, developing propositions and thought leadership, while contributing to recruitment, capability building, campaigns, whitepapers and internal innovation.
- Lead and develop high-performing teams, coaching talent, fostering inclusive and collaborative environments, and building new Data, AI and Agentic AI capabilities as the technology landscape evolves.
Proven senior-level experience leading Data, Analytics and AI transformation, taking organisations from identifying opportunities through to enterprise adoption and measurable business impact.
Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft.
Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI.
Strong strategic and commercial acumen, including proposition development, opportunity shaping, bids and successful client engagement leadership.
A track record of building and developing high-performing teams, leading through ambiguity and creating new capabilities in rapidly evolving technology environments.
Experience with agentic architectures, decision intelligence, human-centred AI operating models, thought leadership, recruitment and practice development, plus relevant Data/AI certifications or innovation experience.
For every CV sent to clients, we donate £1 to The Born Free Foundation. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details.
Senior Data Analytics Manager / Hybrid in London employer: Deerfoot Recruitment Solutions Limited
Join a respected independent financial planning business in the heart of Mayfair, where you will play a pivotal role in shaping the compliance framework while enjoying a supportive and collaborative work environment. With a competitive pro-rata salary and opportunities for direct exposure to senior leadership, this part-time position offers a unique chance to influence governance and regulatory adherence in a dynamic setting. The company fosters a culture of compliance and values the professional growth of its employees, making it an excellent employer for those seeking meaningful and rewarding work.
Contact Details:
Deerfoot Recruitment Solutions Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Manager / Hybrid in London
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We think you need these skills to ace Senior Data Analytics Manager / Hybrid in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Deerfoot Recruitment Solutions Limited
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
