Senior Data & AI Strategy Consultant £1000 - £1100 per day INSIDE IR35 Contract: 3 days per week - 1 day per week in london 3 months Role Purpose TXP has been engaged to support an early-stage programme shaping. This Senior Data & AI Strategy Consultant will lead a comprehensive review of our clients data landscape, analyse business and technical requirements across all delivery streams, and produce a clear roadmap with prioritised recommendations to support decision-making ahead of programme launch. This role requires someone who can operate at the intersection of enterprise data strategy, AI capability development and consulting delivery. The successful candidate will combine deep technical fluency in modern data and AI platforms with a track record of building and scaling data practices in complex regulated environments. Essential Skills & Experience Proven senior leadership in data strategy, enterprise data consulting, AI/ML capability development or data practice leadership within professional services or technology consulting Demonstrated success building and scaling multi-disciplinary data and analytics teams (from inception to 50 people) in high-growth consulting environments Deep technical fluency across modern data and AI stacks including cloud-native architectures (Azure, AWS), data platforms (Databricks, Snowflake, Microsoft Fabric), ML/AI tools (MLflow, LLMs, RAG pipelines, vector stores) and analytics technologies (Power BI, Tableau) Experience reviewing end-to-end data programmes and defining future-state delivery models in regulated or public sector environments Ability to translate complex organisational data requirements into clear delivery plans, roadmaps and actionable recommendations at board level Strong stakeholder engagement skills with experience advising senior programme leadership, C-suite executives and board-level decision makers Desireable Experience Experience with Microsoft Fabric, OneLake architecture and Azure AI Foundry Experience designing AI governance frameworks, model risk management and Responsible AI controls Background in delivering MLOps, intelligent document processing (IDP) or LLM-based solutions at enterprise scale