Senior Data, AI & Regulated Delivery Leader

Engineering trusted data products from decision to deployment.

Cloud platforms, AI-enabled analytics, automation and product delivery in environments where security, auditability and operational confidence are non-negotiable.

Edinburgh / RemoteAzure & AWSAI / NLP / MLConsultancy availableLegal-tech entrepreneur since 2015
800k+customer interactions analysed
20kcolleagues served by secure platforms
96%regulatory reporting cycle reduction
5+regulated / complex sectors delivered
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Executive profile

Technical depth.
Delivery discipline.

I operate across engineering, analytics, programme delivery and senior stakeholder engagement. The common thread is end-to-end ownership: frame the decision, establish the controls, build the data product, deploy it securely and leave behind something that can be operated, audited and extended.

01

Engineering precision

Production-grade pipelines with lineage, quality assertions, resilient scheduling, version control and clear operational ownership.

02

Governance by design

Access controls, audit trails, evidence and exception handling designed into delivery—not added after the platform is built.

03

AI that earns trust

NLP, ML and LLM-enabled systems with explainability, uncertainty communication and a deliberate route from experimentation to production.

04

Commercial ownership

Delivery anchored to cycle time, cost avoidance, adoption, regulatory assurance and decisions that senior stakeholders can act on.

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Structure, restraint and signal.
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Product suite · 2015—present · 11 years

ailitigation

An 11-year legal-technology product suite focused on reducing the time between receiving a case file and reaching the authorities that matter.

From legal information to a usable map of authority.

The product combines structured legal knowledge, automated reading and classification, specialist AI routing and traceable authority mapping. The demonstration follows the complete flow from matter ingestion to verified, issue-linked authority.

2015Business startup founded around legal information, structured authority and faster research.
BUILDGraph-led legal knowledge, NLP and product experimentation developed alongside regulated-sector delivery work.
NOWA suite of secure AI-enabled products connecting UK case law, legislation and case files into traceable research experiences.
Product demonstration64 sec · interactive
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Anatomy of a data project8-stage delivery chain
Governance, engineering, assurance and adoption in one continuous system. Open full screen ↗
Highly regulated end-to-end delivery

From business question to controlled production.

Delivery is treated as one connected chain: framing, planning, sourcing, engineering, assurance, insight, stakeholder alignment and operational embedding.

The technology changes by client; the control discipline does not. Each stage is designed to leave traceable evidence, clear ownership and a route into stable operation.

Governed ingestionAccess, lineage, reconciliation and source-to-target traceability.
Decision productsDefinitions, context and outputs stakeholders can trust.
Controlled releaseEnvironment separation, observability and operational handover.
Technology delivery layer cloud, lakehouse, analytics and operations
Azure
AWS
Databricks
Fabric
Power BI
Tableau
CI/CD & Ops
Selected work

Evidence of delivery.

Representative work across financial services, energy, media and complex programmes, where accuracy, auditability and stakeholder confidence matter as much as technical performance.

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Complex systems, made legible.
NLP · Energy · Governance

Conversation analytics at operational scale

End-to-end NLP pipeline over 800,000+ digital customer interactions, including classification, sensitive-language detection and governance-aligned insight for conduct risk and customer outcomes.

OutcomeOrganisation-wide visibility into customer sentiment and conduct risk at a scale and consistency not previously available.
Automation · Finance · Regulatory

Regulatory reporting transformed

Python automation, statistical quality controls, exception handling and full audit trail applied to a high-stakes reporting process under regulatory scrutiny.

Outcome96% cycle-time reduction—from roughly one month to same-day / daily delivery—with stronger reproducibility and control.
Cloud · Azure · Databricks

Lakehouse architecture for enterprise analytics

Production ingestion and transformation pipelines with lineage, scheduled execution, quality assertions and documented ownership, designed for clean handover and multi-team use.

OutcomeReliable analytics infrastructure that could be operated and extended without dependence on the original author.
Secure platform · Financial services

Analytics platform for 20,000 colleagues

Secure internal MI and analytics capability with governance-aligned access controls, resilient scheduling and management dashboards for a large distributed workforce.

OutcomeTrusted organisation-wide reporting source used by senior leadership.
ML prioritisation · Programme delivery

Risk signals surfaced earlier

NLP and feature engineering across structured and unstructured programme data, with explainability and uncertainty designed into the outputs used by decision-makers.

OutcomeEarlier identification of delivery risk and a standing analytical input into leadership planning cycles.
BI · Media · Automation

Live insight for high-visibility reporting

Automated cloud analytics and real-time dashboards for a national broadcaster, supported by custom geospatial clustering for strategic planning.

OutcomeManual reporting overhead removed and live analytics adopted for planning decisions.
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Career

A sustained record
of delivery.

Sector-diverse experience across financial services, energy, media, defence, nuclear and legal technology, with a consistent focus on trusted analytical products and controlled operational delivery.

2024+
Financial services · secure platforms

Senior MI / Analytics Engineer

Enterprise MI and secure analytics infrastructure for a regulated financial services organisation—from architecture through operational handover.
  • Architected and delivered a secure internal analytics platform with role-based access controls and dashboards used across a 20,000+ workforce.
  • Built automated daily compliance-ready reporting with a clear audit trail and substantially reduced manual effort.
  • Acted as a primary technical interface to senior stakeholders, translating engineering constraints into delivery commitments.
2021+
Energy · NLP at scale · cloud

Senior Data Engineer

Large-scale NLP analytics and cloud data infrastructure in a customer-facing energy business.
  • Introduced production NLP analytics across 800,000+ digital customer interactions.
  • Designed sensitive-language and vulnerability-identification approaches supporting compliance and safeguarding objectives.
  • Delivered Azure / Databricks lakehouse-style pipelines with lineage, scheduling and quality controls.
2019+
Asset management · regulatory reporting

Project Management & Data Science Associate

Joined to solve a high-stakes reporting bottleneck and re-engineered the underlying workflow.
  • Reduced publication time from around one month to one day using Python automation and statistical quality controls.
  • Redesigned data flows for stronger reproducibility across an FCA-scrutinised reporting process.
  • Delivered within PRINCE2-aligned governance and programme-management controls.
2018+
Media · cloud BI · geospatial

Senior Data Analyst

Cloud analytics and BI infrastructure for a national broadcaster in a high-tempo editorial environment.
  • Automated high-visibility dashboards and reporting workflows.
  • Built custom geospatial clustering to replace subjective location decisions with analytical evidence.
  • Coached colleagues in Python and data-engineering practice.
2015—present
Parallel venture · legal technology

ailitigation — business startup / product venture

Independent legal-technology product development pursued alongside client and employment delivery work.
  • Structured UK legal information around graph and authority relationships rather than simple document search.
  • Developed the product direction through NLP, classification and AI-enabled specialist routing.
  • Current demonstration presents a secure workflow from matter ingestion to verified, issue-linked authority mapping.
Earlier
Legal tech · defence · nuclear · finance

Data Science, Analytics & Programme Delivery

Earlier engagements spanning legal technology, defence, nuclear and financial services.
  • Built Neo4j knowledge-graph capability over UK legislation and case law.
  • Delivered programme reporting and project-management support within safety-critical / PRINCE2 environments.
  • Covered investment, fund accounting, pensions and retail banking, including regulatory MI and data-quality assurance.
Capabilities

Senior hands-on breadth.

Comfortable moving from architecture and code to governance, stakeholder engagement improvement and operational handover without losing the thread between them.

Data & cloud engineering

Lakehouse and analytics-platform delivery, ingestion, transformation, orchestration, testing and operationalisation.

PythonPySparkAzureAWSDatabricksDelta LakeFabric

Analytics & decision products

BI, management information, regulatory reporting and stakeholder-ready analytical products with clear definitions.

Power BITableauFlaskSQLGeospatialAutomation

AI, NLP & knowledge systems

Classification, text analytics, knowledge graphs and responsible LLM / RAG patterns designed for traceability and practical use.

NLPMLLLMsRAGNeo4jOpenAI / Anthropic

Regulated delivery

Controls, evidence, access governance, exception handling, audit trails, quality assurance and controlled release.

Financial servicesEnergyDefenceNuclearLegal

Leadership & delivery

Cross-functional leadership from requirements and risk through execution, senior stakeholder communication and handover.

PRINCE2AgileRACIRiskOperating model

Deployment & adoption

Environment-aware deployment, monitoring, documentation, support models and benefit tracking so delivery survives handover.

CI/CDObservabilityRunbooksAdoption
Skills & sector network

Connected capability across specialisms and industries

Animated force-directed skills graph, linking industries to capability domains and practical tools. Hover to trace relationships, or drag a node to explore how the network reorganises.

Education & formation

Engineering foundations.

An electronic-engineering background, international R&D experience and formal delivery training underpin a practical systems approach to data and AI.

Degree

BEng Electronic Engineering (Hons) — 2:1

Final-year turbo-coding project in MATLAB / Simulink, awarded a first-class project grade.

International R&D

R&D Programmer · Test Systems, Stuttgart

Measurement and test-system programming using PCI hardware and C++ tooling, with ISO-aligned procedures.

Professional development

PRINCE2 · Agile · LLM engineering

Formal PRINCE2 certification plus continuing development in LLM engineering, RAG architecture and responsible AI.