Head of Data Servies
Listed on 2026-10-03
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IT/Tech
Data Science Manager, Data Analyst, Data Engineering, AI Engineer (Applied/Software)
London (Hybrid) Up to £95,000 + Benefits
This is an exciting opportunity to lead and shape a high-performing Data Services function at a forward-thinking organisation. You will drive strategy across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology, while playing a key role in embedding AI-driven ways of working and delivering measurable commercial impact.
The CompanyThey are a well-established organisation that combines data, technology, and innovation to help clients make smarter business decisions. With a strong focus on analytics and AI, they continue to invest in their data capabilities and maintain a collaborative, growth-oriented culture. The business works with a diverse portfolio of clients and is committed to delivering high-quality, data-led solutions at scale.
The RoleYou will:
- Lead the strategy, roadmap, and delivery standards across Data Services.
- Drive the adoption of AI-enabled processes, tools, and methodologies.
- Oversee Business Intelligence, Data Science, Digital Analytics, and Marketing Technology capabilities.
- Own and contribute to commercial growth, including client expansion opportunities and new business activity.
- Provide technical leadership and governance across analytics, measurement, and data solutions.
- Develop and mentor senior leaders and specialist teams.
- Build strong relationships with senior stakeholders and communicate complex concepts to non-technical audiences.
- Represent the data function internally and externally, helping to establish market-leading capability.
You will have:
- Strong leadership experience across multiple data disciplines, including analytics, business intelligence, and data science.
- Technical credibility across data and measurement technologies.
- A practical understanding of how AI can enhance data services and operational delivery.
- Experience owning commercial objectives and identifying growth opportunities.
- Strong stakeholder management skills and the ability to influence senior decision-makers.
- A track record of building, developing, and leading high-performing teams.
- Excellent communication skills with both technical and non-technical audiences.
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