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.

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

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.