Data Consulting Architect - Insurance (Data Architecture, Data Products & AI Platforms)

Job Description: Data Consulting Lead - Insurance (Data Architecture, Data Products & AI Platforms)

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

1. 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

2. 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 life cycle, 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

3. 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 (eg, 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

4. 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

5. 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

6. 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 life cycle 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

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 life cycle 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