Manage non-technical operations for a data and AI consultancy: contracts and RFPs, client and staff onboarding, client cadence (QBRs), internal systems (Notion, templates), and time-tracking oversight (Harvest). Act as the operational backbone to ensure consultants are delivery-ready and contracts and compliance are maintained.

Lead design and implementation of data pipelines, data modelling and warehousing solutions. Work directly with clients to deliver end-to-end cloud data and AI solutions, mentor junior engineers, and ensure robust, maintainable implementations.

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.