Enterprise Data Manager

Experis UK; Greater London; Hybrid; GBP 103,500 - 126,500; Full time

Job summary

A leading recruitment firm is seeking an Enterprise Data Manager to oversee and evolve its enterprise-wide data strategy. This senior role involves providing governance and alignment across complex data architectures, ensuring the organization scales its data capabilities responsibly. The ideal candidate will have experience in senior data leadership, a strong background in regulated industries, and familiarity with tools such as Databricks and Azure. This position offers a hybrid work model in London with competitive compensation.

Qualifications

• Proven experience in senior data leadership roles.
• Deep understanding of modern data platforms and governance.
• Experience in heavily regulated industries.

Responsibilities

• Lead and evolve the enterprise data strategy.
• Provide leadership across data engineering and governance.
• Influence senior stakeholders for data-driven decision making.
• Guide oversight of modern data platforms.

Skills

Data governance

Leadership

Stakeholder alignment

Data strategy development

Vendor management

Transformation leadership

Tools

Databricks

Azure

Microsoft Fabric

Job description

Hybrid: 2-3 days per week in the office (London)

Permanent

Paying up to £115k + Bonus

Experis are delighted to be partnering with a well-established organisation as they continue to evolve and mature their enterprise data capability during a significant phase of data platform transformation.

We are supporting them in the search for an Enterprise Data Manager to take ownership of the organisation’s enterprise-wide data agenda. This is a senior, strategic role focused on data leadership, governance, stakeholder alignment and platform direction, sitting above the existing Data Engineering Manager and working across multiple business functions. This role provides enterprise-level oversight and cohesion across a complex, federated data landscape. The organisation is midway through modernising its data platform and needs an experienced data leader who can bring clarity, alignment and strategic direction across teams.

This is a highly visible role operating across technology and business leadership, treating data as a strategic asset and ensuring the organisation is positioned to scale its data and AI capabilities responsibly.

What You’ll Be Doing

• Leading and evolving the enterprise data strategy, turning high-level intent into a clear, actionable roadmap.
• Providing enterprise leadership across the data ecosystem, bringing alignment between data engineering, architecture, governance and reporting functions.
• Acting as the senior authority on data across the organisation, influencing senior stakeholders and shaping data-driven decision making.
• Providing strategic oversight of the organisation’s modern data platform including Azure, Databricks, Lakehouse architecture and early exploration of Microsoft Fabric.
• Guiding key decisions around sources of truth, data product lifecycle management and platform operating models.
• Managing the strategic delivery partnership with Telefónica Tech, ensuring strong collaboration, knowledge transfer and service delivery.
• Overseeing vendor-delivered workstreams and shaping the future sourcing strategy as the internal capability evolves.
• Supporting the organisation’s data governance and AI governance foundations, ensuring strong controls before AI capability is scaled further.
• Operating across a federated data landscape, aligning multiple teams and reducing duplication while strengthening the organisation’s overall data ecosystem.

Experience Required

• Proven experience operating at Head of Data / Enterprise Data Manager / senior data leadership level.
• Strong track record working within large, complex or regulated organisations.
• Deep understanding of modern data platforms, data governance and enterprise data operating models.
• Experience managing external vendors, managed services and strategic delivery partners.
• Comfortable leading through organisational change, transformation and ambiguity.
• Experience working with Databricks, Lakehouse architectures or Microsoft Fabric.
• Background in regulated or data-rich industries such as finance, insurance, legal or media.

If you’d like to learn more, please contact Jacob Ferdinand at [e-mail]