Manager - Data Platform Enterprise IT

• Own the Enterprise IT data platform and data layer, including lake and warehouse capabilities, as the trusted source of IT data for reporting and analytics.
• Ensure Enterprise IT data is designed once, governed to Group standards and reusable across Service Operations, Enterprise Technology, Supply Chain and Procurement.
• Lead the data platform and reporting team, balancing platform reliability, governance, cost, reporting demand and continuous improvement.
• Maintain alignment with Group Engineering on architecture, tooling, security and data standards.

Key Responsibilities

• Own the design, build, operation, security, performance, cost and integrity of the Enterprise IT lake and warehouse layer.
• Design and manage ingestion pipelines, dimensional data models, curated datasets, data lineage, refresh schedules and pipeline reliability.
• Integrate data from ServiceNow, regional IT tooling, Microsoft 365, Entra, Intune, endpoint telemetry, cloud cost and consumption sources, procurement, asset, Finance and HR reference data.
• Own and prioritise the data platform backlog, sequencing delivery against business value, risk and dependencies.
• Adopt Group-standard platforms, tools and engineering patterns, and contribute to relevant data governance and design authorities.
• Align shared dimensions such as people, organisation, cost centre, location and legal entity with Finance and HR data standards.
• Own the Enterprise IT data dictionary and common KPI and metric definitions.
• Define, monitor and report data quality rules; coordinate remediation with source-system and service owners.
• Ensure data protection, retention, security, role-based access and audit requirements are embedded across the platform.
• Lead, coach and develop Report Developers and data specialists, setting clear delivery and quality standards.
• Provide certified semantic models and reusable datasets as the approved source for Power BI reporting.
• Set Power BI development, release, workspace and lifecycle standards in alignment with Group requirements.
• Prioritise reporting demand across Service Operations, Enterprise Technology and Supply Chain / Procurement.
• Track platform and licence cost using FinOps principles and identify opportunities to reduce manual reporting and spreadsheet-based workarounds.
• Identify and shape automation, predictive analytics and AI use cases supported by governed data.

Skills, Knowledge and Expertise

• Mandatory: Proven experience delivering and operating enterprise data platforms and leading a small technical team.

• Total experience: 10+ years in data engineering, data platforms, business intelligence or related technology roles.

• Relevant experience: 5+ years in enterprise data platform ownership or leadership, including governance and stakeholder management.

• Education: Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or a related discipline. Equivalent relevant professional experience may be considered.

• Strong enterprise data platform knowledge, including Azure / Microsoft Fabric, Databricks, Synapse, Snowflake or comparable technologies.

• Advanced data modelling capability, including dimensional and star-schema design, SQL, ELT / ETL and semantic models.

• Practical experience in data governance, metadata, lineage, data quality, retention, security and access control.

• Ability to translate reporting and operational needs into scalable data products and prioritised delivery plans.

• Strong leadership, coaching, supplier and stakeholder-management skills across technical and non-technical teams.

• Clear written and verbal communication, with the ability to explain data risks, trade-offs and value to senior stakeholders.

• Knowledge of Power BI delivery standards and workspace governance.

• Desirable knowledge of ITSM / ServiceNow data, FinOps, Finance, HR, procurement or asset-management data domains

• Demonstrable ownership of a production enterprise data platform, including reliability, security, performance and cost.

• Strong hands-on understanding of SQL, data modelling and modern ELT / ETL pipelines.

• Evidence of establishing data governance, quality controls, lineage and shared metric definitions.

• Experience leading technical colleagues and managing competing cross-functional demand.

• Ability to work to Group architecture and engineering standards while representing Enterprise IT requirements. Certification if any

• Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate or equivalent certification is desirable.

• Relevant cloud, Databricks, Snowflake, Power BI, data governance or FinOps certification is advantageous.