At a Glance
- Tasks: Lead a team to shape the future of finance through AI and data engineering.
- Company: Join a forward-thinking company at the forefront of Finance AI Enablement.
- Benefits: Competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential and a collaborative culture.
- Why this job: Make a real impact by driving innovative AI solutions in finance.
- Qualifications: Proven experience in tech leadership and expertise in Microsoft Fabric and Power BI.
The predicted salary is between 70000 - 90000 £ per year.
Job Description
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)TPBN1_UKTJ
Tech Lead in Swindon employer: Xcede
Join a leading broadcasting client as a Security Architect and be part of a dynamic team driving significant cyber transformation. With a hybrid working model that promotes work-life balance, you will have the opportunity to collaborate with talented professionals while enjoying a supportive culture that prioritises employee growth and development. This role not only offers competitive compensation but also the chance to make a meaningful impact in a forward-thinking organisation.
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We think you need these skills to ace Tech Lead in Swindon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
