Senior Data Consultant

Role: Senior Data Consultant

Location: Horsham, UK (Hybrid)

Hiring type: Contract Role

Must have: Insurance domain experienc

e
Senior Data Consulting Lead with deep expertise in Data Architecture, Data Products, and AI-led Platforms, specialising in Insurance (with focus on Specialty Lines). This role drives enterprise-scale data and AI transformation, shaping modern data ecosystems, AI platforms, and AI-driven migration strategies on Azure, Databricks, and Power BI. A recognised thought leader, responsible for influencing C-level stakeholders, defining strategy, and delivering measurable outcomes through data + AI convergenc

e.Key Responsibiliti

es1. Data Strategy, AI Vision & Thought Leadersh

• ipDefine enterprise-wide data and AI strategy aligned to business and regulatory prioriti
• esAct as a trusted advisor to CIO/CDO/AI leadership, shaping data & AI transformation roadma
• psDrive data product thinking with embedded AI/ML capabilities (intelligent underwriting, claims automation, pricing optimisatio
• n)Bring market perspective on AI-native data ecosystems, GenAI enablement, and agentic architecture

s 2. Data & AI Architecture Leadersh

• ipOwn end-to-end architecture across data and AI layer
• s:Data ingestion, processing, modelling, semantic layer, and consumpti
• onAI platform integration (model lifecycle, feature engineering, inference pipeline
• s)Design modern Lakehouse + AI architecture leveraging Azure and Databric
• ksDefine architecture for scalable, governed, and reusable AI-ready data platfor
• msEnsure integration of data governance, lineage, security, and responsible AI principle

s 3. AI Platforms & AI-led Data Migrati

• onDesign and implement AI Platforms integratin
• g:Model development environments, MLOps pipelines, feature stores, and model servi
• ngLead AI-driven migration strategies, includin
• g:Automated schema discovery, data mapping, and transformation using AI accelerato
• rsAI-assisted code conversion (e.g., legacy ETL → modern pipeline
• s)Intelligent data quality assessment and anomaly detecti
• onDrive adoption of AI-enabled accelerators t
• o:Reduce migration timelin
• esImprove accuracy and minimise manual interventi
• onEnable continuous intelligence through pipelines that combine data engineering with AI/ML workflo

ws4. Insurance Domain & Data Produc

• tsDeep understanding of Specialty Lines insurance (Commercial, Marine, Liability, etc
• .)Define and operationalise domain-centric data products, such a
• s:Risk profiling and underwriting intelligen
• ceClaims analytics and fraud detection mode
• lsPricing optimisation mode
• lsCustomer and broker analytics platfor
• msAlign data products to business outcomes, regulatory compliance, and monetisation opportunitie

s 5. Technology Leadership (Azure + Databricks + Power B

• I)Lead architecture and execution o
• f:Azure Data Platform (ADF, Synapse, Fabric, ADL
• S)Databricks (Lakehouse, Delta, ML workflows, PySpark pipeline
• s)Power BI (semantic models, enterprise dashboards, self-service B
• I)Drive adoption o
• f:Metadata-driven architectur
• esAutomation, orchestration, and reusable framewor
• ksEnsure separation and optimisation of data engineering, analytics, and AI workload

s 6. Consulting & Delivery Leadersh

• ipLead end-to-end consulting engagements (Discovery → Architecture → Delivery → Value Realisatio
• n)Run executive workshops on Data Strategy, AI adoption, and operating mode
• lsDefine target operating models (Data + AI CoE, Data Product organisatio
• n)Mentor teams across architecture, engineering, analytics, and
• AIBuild reusable accelerators and GTM offerings in data + AI transformatio

n Required Experience & Skil

lsCore Experien

• ce12–18+ years across Data, Analytics, AI Platforms, and Architectu
• reProven leadership of large-scale data and AI transformation programm
• esStrong experience in consulting, stakeholder engagement, and solution shapi

ng
Insurance Expert

• iseStrong domain expertise in Insurance (with exposure to Specialty Lin
• es)Understanding of underwriting, claims, pricing, regulatory reporting data mod
• elsExperience mapping data products to insurance business capabilit

ies
AI & Data Platform Exper

• tiseExperience designing and implement
• ing:AI/ML platforms (MLOps, model lifecycle management, feature sto
• res)AI-enabled data pipelines and intelligent automation framew
• orksExposure
• to:GenAI / LLM use cases in data (RAG, knowledge graphs, copil
• ots)AI-driven migration and code/data modernisation approa

ches
Technical Expe

• rtiseStrong hands-on / architectural expertis
• e in:Azure data ecosystem (ADF, Synapse, Fabric,
• ADLS)Databricks (Delta Lake, Spark, ML workf
• lows)Power BI (enterprise analytics & semantic l
• ayer)Strong groundin
• g in:Data modelling (dimensional, domain-dr
• iven)Data governance, lineage, catalo
• guingIntegration patterns (batch, streaming,

APIs)Leadership & Consulting S

• killsExecutive stakeholder engagement (CIO/CDO/AI lea
• ders)Ability to translate business problems into data + AI solu
• tionsStrong storytelling and influencing capab
• ilityExperience building data/AI CoEs and scalable delivery m