Artificial Intelligence Specialist

Senior Data Consulting Lead

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
• 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

3. AI Platforms & AI‑led Data Migration

• Design and implement AI Platforms integrating:
• Model development environments, MLOps pipelines, feature stores, and model serving
• Automated schema discovery, data mapping, and transformation using AI accelerators
• 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
• Customer and broker analytics platforms
• Align data products to business outcomes, regulatory compliance, and monetisation opportunities
• Lead architecture and execution of:
• Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines)
• Metadata‑driven architectures
• Automation, orchestration, and reusable frameworks
• Ensure separation and optimisation of data engineering, analytics, and AI workloads

6. Consulting & Delivery Leadership

• Run executive workshops on Data Strategy, AI adoption, and operating models
• 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 model
• Experience mapping data products to insurance business capabilities

AI & Data Platform Expertise

• Experience designing and implementing AI‑enabled data pipelines and intelligent automation frameworks
• Exposure to GenAI / LLM use cases in data (RAG, knowledge graphs, copilot) and AI‑driven migration and code/data modernization approach

Technical Expertise

• Strong hands‑on and architectural expertise
• Databricks (Delta Lake, Spark, ML workflows)
• Power BI (enterprise analytics & semantic layer)
• Data governance, lineage, cataloguing
• Integration patterns (batch, streaming, API)

Leadership & Consulting Skills

• Executive stakeholder engagement (CIO/CDO/AI leaders)
• Ability to translate business problems into data + AI solutions
• Strong storytelling and influencing capabilities
• Experience building data/AI Centers of Excellence and scalable delivery models

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