Group Head of Data

Purpose of Role

The Head of Data will lead Grosvenors enterprise data strategy platform engineering capability and the transition from Azure Synapse to Microsoft Fabric. This role is central to enabling the organisation to transform how it uses data through modern data engineering trusted data products and a Microsoft-first architecture.

This role will shape Grosvenors longterm data strategy architecture governance model and the evolution toward a highmaturity datadriven organisation. The Head of Data will partner with business stakeholders and leaders to unlock measurable value from data and analytics.

Key Responsibilities

Data Leadership

• Champion a data culture across Grosvenor elevating maturity in data literacy ownership and usage.

• Build strong partnerships across business teams helping them identify opportunities to use data to transform operations insight and decisionmaking.

• Act as Grosvenors senior authority on data strategy architecture data engineering and platform.

Data Platform Engineering & Delivery

• Own the enterprise data platform roadmap and architecture ensuring alignment with organisational objectives and business priorities.

• Build and lead highperforming data engineering teams responsible for ingestion transformation modelling integration and platform operations.

• Lead the migration from Azure Synapse to Microsoft Fabric ensuring minimal disruption and maximum value uplift.

• Ensure the platform supports both nearrealtime and batch processing governed selfservice analytics AI/ML workloads and enterprise reporting.

• Embed modern engineering practices including CI/CD for data (DataOps) automated testing orchestration and monitoring of data pipelines.

• Ensure engineering excellence in reliability performance observability and adherence to SLAs/SLOs.

Data Governance Quality & Trust

• Define and implement data governance frameworks covering ownership stewardship classification and lifecycle management.

• Embed Microsoft Purview as the enterprise governance cataloguing and quality management tool.

• Ensure compliance with privacy security and regulatory requirements (e.g. GDPR).

• Drive organisationwide improvements in data quality accuracy timeliness and lineage transparency.

Business Partnering & Enablement

• Work closely with executive stakeholders to understand business goals and translate them into datadriven initiatives.

• Provide expert guidance to business units on how best to use Fabric Power BI and modern analytics tools.

• Partner with analysts product teams and data scientists to provide the necessary capabilities tooling and highquality data.

• Build and scale selfservice data capabilities while maintaining governance and guardrails.

• Ensure the data platform effectively supports analytics and AI initiatives across the organisation.

Operational Excellence

• Define operational standards and ensure the platform is secure reliable and continuously improving.

• Oversee cost optimisation of the Microsoft data stack with a particular focus on efficient use of Fabric capacity.

• Manage suppliers and delivery partners ensuring accountability and consistent execution.

Key Requirements

Technical Expertise

• Deep expertise in Microsoft Fabric Synapse Power BI Azure Data Factory Databricks Azure SQL/Storage and Purview.

• Strong experience in modern data architectures.

• Proven experience of platform migrations at scale (ideally Synapse to Fabric).

• Expertise in DataOps pipeline orchestration metadata management monitoring and automation.

• Strong understanding of data governance privacy and security (including Data SecOps practices).

Leadership & Experience

• Demonstrate a high level of experience in senior data leadership roles.

• Proven ability to build and lead highperforming technical teams including offshore partners.

• Demonstrable track record of shaping and delivering enterprise data strategies.

• Strong stakeholder management skills capable of influencing at all organisational levels.

• Experience enabling business teams to adopt selfservice analytics and data products.

We know flexibility is important and take a hybrid approach to working please contact us for further details.

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