Data Consulting Lead – Insurance (Data Architecture, Data Products & AI Platforms) in Crawley

Data Consulting Lead – Insurance (Data Architecture, Data Products & AI Platforms) in Crawley

Crawley Freelance 80000 - 100000 £ / year (est.) Home office (partial)
Insight International (UK) Ltd

At a Glance

  • Tasks: Lead data and AI transformation in the insurance sector, shaping modern data ecosystems.
  • Company: Join a forward-thinking company at the forefront of data and AI innovation.
  • Benefits: Competitive contract rate, flexible work arrangements, and opportunities for professional growth.
  • Other info: Collaborate with C-level stakeholders and mentor teams in a dynamic environment.
  • Why this job: Make a significant impact on enterprise-scale data strategies and AI platforms.
  • Qualifications: 12-18 years in data, analytics, and AI with strong insurance domain expertise.

The predicted salary is between 80000 - 100000 £ per year.

Location: Horsham (3 days/week On-Site)

Job Type: Contract

Role Summary

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 convergence.

Key Responsibilities

  • Data Strategy, AI Vision & Thought Leadership
    • Define enterprise-wide data and AI strategy aligned to business and regulatory priorities
    • Act as a trusted advisor to CIO/CDO/AI leadership, shaping data & AI transformation roadmaps
    • Drive data product thinking with embedded AI/ML capabilities (intelligent underwriting, claims automation, pricing optimisation)
    • Bring market perspective on AI-native data ecosystems, GenAI enablement, and agentic architectures
  • Data & AI Architecture Leadership
    • Own end-to-end architecture across data and AI layers: Data ingestion, processing, modelling, semantic layer, and consumption
    • AI platform integration (model lifecycle, feature engineering, inference pipelines)
    • Design modern Lakehouse + AI architecture leveraging Azure and Databricks
    • Define architecture for scalable, governed, and reusable AI-ready data platforms
    • Ensure integration of data governance, lineage, security, and responsible AI principles
  • AI Platforms & AI-led Data Migration
    • Design and implement AI Platforms integrating: Model development environments, MLOps pipelines, feature stores, and model serving
    • Lead AI-driven migration strategies, including: Automated schema discovery, data mapping, and transformation using AI accelerators
    • AI-assisted code conversion (e.g., legacy ETL → modern pipelines)
    • Intelligent data quality assessment and anomaly detection
    • Drive adoption of AI-enabled accelerators to: Reduce migration timelines, Improve accuracy and minimise manual intervention, Enable continuous intelligence through pipelines that combine data engineering with AI/ML workflows
  • Insurance Domain & Data Products
    • Deep understanding of Specialty Lines insurance (Commercial, Marine, Liability, etc.)
    • Define and operationalise domain-centric data products, such as: Risk profiling and underwriting intelligence, Claims analytics and fraud detection models, Pricing optimisation models, Customer and broker analytics platforms
    • Align data products to business outcomes, regulatory compliance, and monetisation opportunities
  • Technology Leadership (Azure + Databricks + Power BI)
    • Lead architecture and execution of: Azure Data Platform (ADF, Synapse, Fabric, ADLS), Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines), Power BI (semantic models, enterprise dashboards, self-service BI)
    • Drive adoption of: Metadata-driven architectures, Automation, orchestration, and reusable frameworks
    • Ensure separation and optimisation of data engineering, analytics, and AI workloads
  • Consulting & Delivery Leadership
    • Lead end-to-end consulting engagements (Discovery → Architecture → Delivery → Value Realisation)
    • Run executive workshops on Data Strategy, AI adoption, and operating models
    • Define target operating models (Data + AI CoE, Data Product organisation)
    • Mentor teams across architecture, engineering, analytics, and AI
    • Build reusable accelerators and GTM offerings in data + AI transformation

Required Experience & Skills

  • Core Experience
    • 12–18+ years across Data, Analytics, AI Platforms, and Architecture
    • Proven leadership of large-scale data and AI transformation programmes
    • Strong experience in consulting, stakeholder engagement, and solution shaping
  • Insurance Expertise
    • Strong domain expertise in Insurance (with exposure to Specialty Lines)
    • Understanding of underwriting, claims, pricing, regulatory reporting data models
    • Experience mapping data products to insurance business capabilities
  • AI & Data Platform Expertise
    • Experience designing and implementing: AI/ML platforms (MLOps, model lifecycle management, feature stores)
    • AI-enabled data pipelines and intelligent automation frameworks
    • Exposure to: GenAI / LLM use cases in data (RAG, knowledge graphs, copilots)
    • AI-driven migration and code/data modernisation approaches
  • Technical Expertise
    • Strong hands-on / architectural expertise in: Azure data ecosystem (ADF, Synapse, Fabric, ADLS)
    • Databricks (Delta Lake, Spark, ML workflows)
    • Power BI (enterprise analytics & semantic layer)
    • Strong grounding in: Data modelling (dimensional, domain-driven), Data governance, lineage, cataloguing, Integration patterns (batch, streaming, APIs)
  • Leadership & Consulting Skills
    • Executive stakeholder engagement (CIO/CDO/AI leaders)
    • Ability to translate business problems into data + AI solutions
    • Strong storytelling and influencing capability
    • Experience building data/AI CoEs and scalable delivery models

Data Consulting Lead – Insurance (Data Architecture, Data Products & AI Platforms) in Crawley employer: Insight International (UK) Ltd

Join a forward-thinking company in Horsham as a Data Consulting Lead, where you will be at the forefront of driving data and AI transformation in the insurance sector. With a strong emphasis on employee growth, our collaborative work culture fosters innovation and creativity, while offering competitive benefits and opportunities to influence C-level stakeholders. Experience the unique advantage of working in a vibrant location that balances professional development with a supportive community atmosphere.

Insight International (UK) Ltd

Contact Details:

Insight International (UK) Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Consulting Lead – Insurance (Data Architecture, Data Products & AI Platforms) in Crawley

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We think you need these skills to ace Data Consulting Lead – Insurance (Data Architecture, Data Products & AI Platforms) in Crawley

Data Architecture
AI Platforms
Azure
Databricks
Power BI
Data Strategy
AI Vision

Some tips for your application 🫡

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