At a Glance
- Tasks: Lead AI transformation in insurance, shaping data ecosystems and driving innovative solutions.
- Company: Join a leading consultancy at the forefront of AI and data architecture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and shape future data leaders.
- Why this job: Make a real impact in the insurance industry with cutting-edge AI technologies.
- Qualifications: 12-18 years in data, analytics, and AI platforms; strong leadership and consulting skills.
The predicted salary is between 80000 - 100000 £ per year.
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.
Artificial Intelligence Specialist in Crawley employer: Infinity Quest
As an Artificial Intelligence Specialist at our company, you will thrive in a dynamic and innovative work culture that prioritises employee growth and development. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, all while being at the forefront of AI transformation in the insurance sector. Join us in shaping the future of data ecosystems and AI platforms in a collaborative environment that values your expertise and contributions.
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We think you need these skills to ace Artificial Intelligence Specialist in Crawley
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✨Brush Up on Your Statistics
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