Role Title: Analysis Lead – Data & AI Accelerated Modernization for AI 

Description: The Analysis Lead – Data & AI Accelerated Modernization for AI is responsible for driving analysis across initiatives that simplify, modernise, and intelligently automate the organisation’s data landscape. The role leverages AI-assisted analysis, automated lineage discovery, and GenAI-driven insights to streamline data flows, reduce duplication, and improve data accessibility. 

This leader works at the intersection of data, AI, and business transformation — shaping the target-state data ecosystem, accelerating simplification with intelligent tooling, and ensuring analysis outputs power next-generation AI and analytics capabilities. 

Key Responsibilities: 

• Lead a team of Data Engineers, GenAI practitioners and Business/Data/AI Analysts delivering analysis for data transformation and AI-enabled modernisation initiatives. 

• Define analysis strategy that incorporates AI-driven insights, automated metadata discovery, and LLM-assisted documentation. Ensure analysis outputs align with enterprise data, AI, and architecture standards. 

• Use Agentic AI-enabled tools for automated lineage mapping, metadata extraction, data quality scanning, and pattern detection. 

• Identify high-value simplification opportunities using data profiling augmented by LLMs and machine learning (e.g., duplication detection, data dependency clustering). 

• Partner with data engineers and GenAI practitioners / data scientists to ensure simplified data flows enable future GenAI models, agentic workflows, and automation solutions. 

• Produce clear, AI-assisted artefacts including lineage maps, canonical models, semantic layer requirements, and data dependency diagrams. 

• Define functional and non-functional requirements for GenAI-powered data products, data transformation pipelines, and automation capabilities. 

• Facilitate workshops by combining traditional BA discovery techniques with AI-driven insights to accelerate decision-making.  

• Communicate complex GenAI and data concepts to non-technical stakeholders, translating them into actionable roadmaps. Present analysis findings, trends, and AI-generated insights to senior leadership and governance forums. 

• Integrate LLM powered data governance practices, including automated validation of data definitions and business rules. Implement continuous analysis automation using LLM-based agents for traceability, documentation upkeep, and impact assessment.