Reporting, Analytics and AI Technical Lead

• Lead the design and delivery of trusted data, technical specifications, and data models across Azure, Fabric, and Purview to provide integrated, secure, and scalable data for consumption.
• Own and deliver analytics, reporting, and AI-enabled consumption requirements and resulting modelling, reporting and analytics products for the enterprise data platform.
• Define, document, and validate reporting requirements, KPI definitions, business rules, management information logic, and analytics use cases.
• Lead AI tools to answer business questions using approved, certified, and traceable data products, and validate AI-generated analytical answers for accuracy and appropriate use.

This role enables the organization to make data-driven decisions for renewable energy projects, accelerating the transition to zero-carbon energy by providing trusted, governed, and AI-enhanced analytics that improve operational efficiency and strategic planning.

• Expertise in semantic data modelling, including physical, dimensional, and logical models with deep understanding of BI patterns and enterprise architecture.
• Advanced technical skills in hands-on delivery using Microsoft Azure, Fabric, and modern tools to deliver quality data through a data lakehouse.
• Strong AI-enabled analytics, natural language querying, semantic consumption, and delivery of explainable analytical outputs.
• Leadership, coaching, stakeholder and mentoring skills; experience in line management and working with a Chief Data Officer.

Competitive package with a wide range of benefits and rewards. RES invests in personal and professional growth, offering opportunities to learn from inspiring colleagues across a global network.

RES is the world's largest independent renewable energy company, guided by a vision to create a future where everyone has access to affordable, zero carbon energy.