Enterprise Data Manager
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Role details
Tech stack
Job description
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., * 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.
Requirements
- 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.
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