We're recruiting on behalf of a Group business behind a portfolio of well-known global brands, for a Senior BI Developer to take ownership of their enterprise Power BI environment and lead the organisation's approach to AI readiness and adoption.

This is a senior, high-impact role combining deep technical BI/data engineering expertise with strategic input into how the business scales AI across its operations.

It's a fantastic opportunity for an experienced BI professional looking to broaden into AI strategy and governance within a well-established, brand-led business.

Main Responsibilities Will Include:

• Owning and managing the end-to-end Power BI environment, including datasets, semantic models, gateways, dataflows and reporting infrastructure

• Designing and maintaining scalable Power BI data models supporting enterprise-wide reporting and analytics

• Managing ODBC connections and integrations between ERP systems, SQL Server and Power BI

• Writing, optimising and maintaining complex SQL queries, views, stored procedures and backend logic

• Owning the data modernisation roadmap, focusing on data quality, integration, lineage and master data foundations

• Designing and maintaining ETL processes, data transformation pipelines and validation procedures

• Developing and maintaining advanced DAX calculations, measures and performance optimisation strategies

• Assessing and improving enterprise AI readiness across data, architecture, governance and operating model

• Identifying, prioritising and building a business case for AI use cases across functions, including agents and automation

• Establishing governance frameworks for AI systems covering access, security, testing, documentation and auditability

Person Specification:

• Previous experience in Power BI, business intelligence, data engineering or data architecture roles

• Advanced SQL Server expertise, including query optimisation and performance tuning

• Strong experience managing ERP data structures, system integrations and enterprise data flows

• Proven experience building and managing semantic models and enterprise datasets in Power BI

• Strong knowledge of ETL processes, data modelling, data quality and master data management

• Advanced DAX development and optimisation experience

• Practical understanding of enterprise AI architectures, including generative AI, agentic systems and AI assistants

• Experience assessing organisational AI readiness and translating priorities into AI use cases and roadmaps

• Advanced Excel and PowerPoint skills, with experience working with ERP systems and large datasets

• Excellent communicator with strong presentation skills and the ability to translate technical capability into business value

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