Ade Mosi

<p>Leading data governance and AI transformation across customer, product and externally sourced data supporting regulated operations and AI-enabled workflows.<br>
Built and prioritised a pipeline of AI use cases, assessing business value, feasibility, data readiness and risk; progressed the strongest opportunities into prototype/pilot and stopped or re-scoped use cases without a sufficient value, data or control case.<br>
Built the value case for an AI-assisted KPI reporting workflow, comparing the existing process with the proposed AI-enabled approach across effort, cycle time, quality and risk.<br>
Took the use case from discovery through pilot and controlled rollout, working with Product and Engineering to define the workflow, human review points, acceptance criteria and governance required for implementation.<br>
Established AI governance across use-case inventory, risk assessment, approval criteria and decision logs, mapping the approach to NIST AI RMF and relevant EU AI Act requirements.<br>
Defined AI access and lifecycle controls covering approved data and system access, accountable ownership, human oversight, monitoring, exceptions, revalidation and retirement; drove 25+ data and control issues through remediation to closure.<br>
Redesigned time-sensitive customer onboarding around a controlled Preliminary Organisation model, enabling earlier regulatory and OFAC screening and cutting transaction initiation from two weeks to two days.<br>
Established ownership, stewardship, data-quality, lineage and provenance controls across priority datasets; 300+ preliminary entities were processed and 100% subsequently converted to mastered customer records.</p>

<p>Delivered data governance, AI enablement and assurance across cross-government services covering citizen data, Microsoft 365 Copilot, data sharing, ownership and quality.<br>
Used Copilot to test AI-assisted workflows and assess where it could be applied safely within existing business processes; led the risk assessment across data exposure, privacy, security, fairness, explainability, human oversight and monitoring, translating findings into practical controls and team guidance.<br>
Designed and delivered Microsoft 365 Copilot enablement for 180+ users through practical workshops, use-case clinics and playbooks, helping teams identify where AI could improve day-to-day work and tracking adoption and user feedback to refine the rollout and ongoing governance.<br>
Ran workshops on agent ageing and lifecycle governance, agreeing ownership, review points, revalidation and retirement requirements with Technology, Security and business stakeholders.<br>
Mapped end-to-end data flows and agency hand-offs; defined GDPR lawful basis, consent, data-sharing protocols, common definitions, ownership and quality controls, supporting launch of the eligibility calculator and controlled downstream sharing.<br>
Created a shared data dictionary and KPI framework, standardised measures and ran data-quality governance with Data Owners; produced lineage, ownership and decommissioning evidence for service assessment.</p>

<p>Led the data and operating-model workstream for a banking client's Salesforce transformation, moving fragmented customer and contract data into a controlled target-state platform.<br>
Ran discovery across business teams, legacy repositories and paper records to map current-state processes and data, define migration scope, target-state requirements, ownership and data-quality priorities.<br>
Translated discovery into the target customer-data model and authoritative customer record, aligning contracts and supporting documents to the correct entities and clarifying future-state ownership.<br>
Designed repeatable migration and exception-management workflows for 30,000+ customer and contract documents, covering matching, classification, validation, reconciliation and remediation.<br>
Worked across business and technology teams to embed data-quality, GDPR, access and retention controls into the target operating model and transition to the new platform.<br>
Standardised customer and contract handling and introduced a four-eye review control, changing day-to-day operating processes before communications were released externally.</p>

<p>Delivered transformation across a Home Office cloud migration and a high-volume data exchange platform, bridging business requirements, data governance and engineering delivery.<br>
Led current-state discovery, mapping data flows, reporting, users, access models, dependencies and operational controls to define migration scope and target-state requirements.<br>
Translated findings into target-state data handling, validation, migration and reconciliation controls, maintaining traceability from requirements through build, testing, stakeholder review and sign-off.<br>
Coordinated business, operational and engineering stakeholders through decisions, defects, acceptance criteria, remediation and release readiness.<br>
Led source-to-target mapping, API specifications, transformation rules, validation requirements and test controls as processing volume increased 50%, with errors below 1% and uptime at 99.9%.</p>

<p>Led the end-to-end transformation and migration workstream for a legacy government data platform to AWS, from discovery and target-state design through testing, cutover and release.<br>
Mapped current-state data flows, reporting, access models and operational dependencies, turning findings into migration scope, source-to-target requirements, downstream impacts and cutover controls.<br>
Defined the target-state migration, validation, reconciliation, security and resilience approach and maintained traceability from requirements through build and testing.<br>
Coordinated business and technology stakeholders through migration decisions, testing, sign-off, cutover and release readiness.<br>
Delivered the move to AWS, reducing operating costs by 30% and resolving recurring downtime.</p>

<p>Produced evidence-based briefings and recommendations for senior stakeholders across legal-aid policy and the post-Grenfell Building Safety Review, translating complex evidence into clear options, risks and decisions.</p>