Tech Lead, Data Engineering, AI Engineer (Applied​/Software)

We are looking for an experienced Tech Lead to own the technical direction of the IBPM (Intelligent Business Process Management) workstream, part of a broader Finance AI Enablement programme. This role sits at the intersection of data engineering, analytics and applied AI, and is responsible for translating business ambition into a coherent, well-architected technical solution. You will lead a team of around five developers, set engineering standards, and act as the primary technical decision-maker for the workstream from the underlying data foundations through to the AI capabilities built on top of them.

Key Responsibilities Own and define the end-to-end technical direction and architecture for the IBPM workstream, ensuring alignment with the wider Finance AI Enablement programme roadmap. Lead, mentor and manage a team of approximately five developers, setting priorities, reviewing code/designs, and supporting their technical growth. Design and oversee data foundations built on Microsoft Fabric, including data ingestion, modelling, transformation and governance for finance data domains.

Direct the design and delivery of reporting and analytics solutions in Power BI, ensuring performance, usability and a single source of truth for finance stakeholders. Scope, evaluate and shape the roadmap for AI-enabled capabilities, with an initial focus on conversational AI (e.g. chat-based assistants over finance data and processes). Translate business and finance stakeholder requirements into technical designs, solution options and delivery plans.

Establish engineering best practice: coding standards, CI/CD, environment management, testing strategy, and technical documentation across the workstream. Act as the key technical point of contact with programme leadership, architects, and other workstream leads, escalating risks and dependencies as needed. Evaluate emerging tools and approaches in the Microsoft AI/data ecosystem (Fabric, Power BI, Copilot/Azure AI services) and recommend adoption where relevant.

Own technical risk management, including data security, access control and responsible AI considerations for any AI solutions delivered. Required Skills & Experience Proven experience as a Tech Lead / Lead Engineer, with direct responsibility for technical direction and team leadership. Strong hands-on experience with Microsoft Fabric (or equivalent modern data platform Azure Synapse, Databricks) for data engineering and data foundations.

Strong expertise in Power BI, including data modelling, DAX, and enterprise reporting best practice. Experience scoping and/or delivering AI solutions, ideally including conversational AI / chatbot / LLM-based assistants. Solid understanding of finance processes and data domains is highly desirable (e.g. FP&A, controlling, reporting). Experience managing or leading a team of developers, including task allocation, code review and technical mentoring.

Strong stakeholder management skills, comfortable working with both technical teams and senior finance/business stakeholders. Good understanding of cloud architecture, data governance and security within the Microsoft ecosystem (Azure). Excellent communication skills, with the ability to explain technical trade-offs to non-technical audiences. ASAP Start
- Til end of year Rate
- Inside IR35 (Negotiable) Location
- Mainly remote (Occasinal Visits to London for Key workshops & Meetings)