Brian O'Reilly

• Designed enterprise-wide governance controls for AI readiness, metadata trust, and regulatory compliance across SOX, GDPR, and HIPAA domains.
• Implemented AI-assisted data profiling and classification across 250,000+ columns and 7,500+ data assets to accelerate governance maturity.
• Built governance-linked RBAC patterns and secure identity workflows using Microsoft Entra ID and service principal standardisation.
• Operationalised federated stewardship workflows integrating Informatica, Databricks, SAP, and Salesforce ecosystems.
• Partnered directly with executive leadership to position data as a governed enterprise product layer supporting analytics and AI initiatives.

• Founded and scaled a new enterprise Data Management Office during a period of rapid acquisition growth (~18 acquisitions annually).
• Led a multidisciplinary team spanning governance, analytics, quality operations, and engineering.
• Established governance frameworks based on DAMA-DMBOK, including lineage, stewardship, quality management, and executive reporting.
• Improved organisational data quality by 60%–85% across critical business domains including Finance, HR, and Sales.
• Drove £5.8M in commercial improvement through remediation of systemic CRM and source-system design weaknesses.

• Architected and delivered a modern Azure-native Lakehouse platform serving over 1,000 weekly BI consumers.
• Implemented governance-aware medallion architecture using Databricks, dbt, Azure Data Factory, and Fivetran.
• Introduced Unity Catalog to strengthen fine-grained access controls and enterprise governance standards.
• Built scalable ingestion and integration frameworks to accelerate M&A onboarding and operational harmonisation.
• Led engineering teams focused on reliability, cost optimisation, observability, and platform scalability.

• Delivered executive-level analytics and operational scorecards across Finance, Sales, Supply Chain, and HR functions.
• Developed revenue assurance, utilisation optimisation, and forecasting models that generated multi-million-pound commercial impact.
• Led enterprise BI modernisation efforts, migrating reporting cultures toward governed self-service analytics.
• Built strong stakeholder relationships across operational, technical, and executive leadership audiences.

Foundation spanning software engineering, database management, systems analysis, enterprise architecture, accounting, and business strategy.

• Databricks Certified Data Analyst Associate
• Microsoft Certified Data Analyst Associate
• MCSA: Power BI Reporting
• Ethics in the Age of Generative AI
• Data Management & Governance with Unity Catalog