Artificial Intelligence Specialist

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 .

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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)

• 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