Andrew Dias

Senior Data & AI Project Manager | London Market Insurance | Data Platforms, Governance & AI

Talent

LondonMember since August 18, 2026

Enterprise data governanceCollibraAtaccama ONEData lineageTrusted data productsData qualityDatabricks LakehouseMedallion ArchitectureMicrosoft FabricSnowflakeAzure Data FactoryIBM CDCPower BIAI deliveryProof of conceptResponsible AI governanceAI operating modelsBusiness adoptionWorkflow automationAzureAWSGoogle CloudAzure OpenAICopilot StudioRAGAPI integrationEnterprise workflow automationMulti-vendor deliveryStakeholder engagementDiscovery workshops

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Enterprise data governanceCollibraAtaccama ONEData lineageTrusted data products

About

Senior Data & AI Project Manager delivering enterprise data, AI and technology transformation across London Market insurance and regulated financial services. Experienced in data platform modernisation, data governance and AI delivery, from discovery and proof of concept through to production and business adoption. Strong track record leading cross-functional teams, multi-vendor delivery and complex stakeholder environments.

Combines trusted data foundations, workflow automation and Responsible AI with structured programme governance to deliver measurable business outcomes.

Experience

Senior AI Data Project Manager at QBE Insurance Group (2025-10 – Present)

Lead delivery of enterprise data governance, AI-ready data foundations and data platform modernisation within a London Market insurer, enabling trusted data products supporting underwriting, claims and regulatory reporting.

Directed implementation of Collibra and Ataccama ONE to establish enterprise data governance, metadata, lineage and data quality capabilities, creating trusted governed data for underwriting, claims, regulatory reporting and advanced analytics.
Delivered enterprise data confidentiality and information protection capabilities using Collibra Data Classification, enabling secure AI data consumption through policy-driven masking, RBAC and GDPR-compliant governance.
Owned the modernisation of a legacy IBM-based underwriting and claims exception reporting platform using IBM CDC, Azure Data Factory, Databricks Medallion Architecture, Ataccama ONE and Power BI, delivering future AI enablement for underwriting, claims, regulatory reporting and advanced analytics.
Developed and executed integrated delivery plans, coordinated cross-functional workstreams, managed dependencies, RAID, executive reporting and programme governance across business, architecture, engineering and data teams.

Senior AI Data Project Manager at Skiddaw Financial Services (2025-03 – 2025-10)

Led end-to-end delivery, deployment and enterprise rollout of AI-powered workflow automation solutions, driving business process transformation, secure AI adoption and measurable business outcomes.

Delivered an enterprise GenAI workflow platform integrating ServiceNow, Salesforce and Jira using Azure OpenAI and RAG, automating operational workflows and reducing manual effort by approximately 23%.
Owned the complete AI delivery lifecycle from proof of concept and discovery through production deployment, enterprise rollout, business adoption and benefits realisation.
Embedded Responsible AI governance and operational controls with Security, Risk and Data teams, enabling safe enterprise deployment with zero escalations.
Defined and prioritised AI use cases aligned to business priorities, driving business process transformation, process optimisation and measurable operational improvements.
Led enterprise integration, AI operating model design and cross-functional stakeholder alignment across business, data and technology teams.
Partnered with business sponsors to define success measures, lead business readiness, stakeholder communications, training, user adoption and benefits realisation, ensuring successful transition into BAU following enterprise AI rollout.

Senior Cloud, Data & AI Programme Manager at London Stock Exchange Group (2022-09 – 2025-03)

Led enterprise cloud, data and AI transformation programmes across global financial markets, delivering cloud modernisation, enterprise data platforms and AI capabilities from evaluation and pilot through business adoption.

Directed enterprise cloud, data and AI transformation programmes across Azure, AWS and Google Cloud, aligning technology delivery with business objectives and improving delivery predictability and efficiency by 38%.
Supported evaluation and pilot delivery of Microsoft Copilot and Azure OpenAI, integrating trusted enterprise data using Retrieval-Augmented Generation (RAG) to improve response quality and support regulatory compliance.
Established Responsible AI governance, operating models and change frameworks to enable safe, scalable AI adoption across global business functions.
Delivered enterprise data platform modernisation supporting analytics, integration, operational decision-making and future AI enablement.
Partnered with Product, business, data and engineering teams to coordinate multiple workstreams, third-party suppliers and engineering partners, ensuring alignment across priorities, dependencies, governance and operational readiness.

Senior Project Manager at Microsoft (M&G Account) (2021-05 – 2022-03)

Led an enterprise Azure migration programme across regulated financial services platforms.

Delivered migration of 76 business-critical applications to Microsoft Azure, coordinating migration planning, testing, cutover and production transition within an FCA/PRA-regulated environment.
Owned governance including regulatory compliance, risk management and stakeholder reporting aligned to FCA and PRA standards.
Improved delivery predictability and reduced risk through structured governance and execution.

Senior Project Manager at Meggitt (2020-11 – 2021-04)

Led a global identity and security transformation across international operations.