Commercial Data & AI Lead

Data Platform & Analytics:

• Own and continuously develop the company’s commercial data warehouse and analytics ecosystem.
• Drive the development of dashboards, reports and decision-support tools using Power BI and Azure technologies.
• Translate business challenges into scalable data solutions that deliver measurable value.
• Coordinate development activity across business teams and technology partners.
• Deliver commercial insights, performance analysis and executive reporting to senior stakeholders.

Artificial Intelligence & Machine Learning:

• Act as Product Owner for an Azure-based business analytics and AI platform.
• Define and deliver the roadmap for new AI capabilities, advanced analytics solutions and intelligent automation opportunities.
• Own and enhance machine learning auction prediction models to improve forecasting accuracy and commercial decision-making.
• Identify, assess and implement innovative AI use cases to optimise business processes and create business value.
• Collaborate with internal specialists, external partners and academic institutions to bring advanced analytics and AI solutions into production.

Data Strategy & Governance:

• Lead the data operating plan and support the long-term data and AI strategy.
• Establish governance, ownership and documentation across the data landscape.
• Champion data quality, reliability and continuous improvement across business processes.
• Support compliance with data governance, security, access management and audit requirements.
• Support the evolution of the Azure data platform, including architecture, security, monitoring and integration capabilities.

• Proven experience in data analytics, business intelligence, data science, artificial intelligence, machine learning or a related field.
• Experience gained within energy markets, utilities, financial services or another data-intensive environment is preferred.
• Demonstrated ability to connect business strategy, commercial objectives and technical delivery to maximise value from data and AI.
• Experience working across departments and with multiple stakeholders in a collaborative setting.

Technical Skills & Tools:

• Strong understanding of data governance, data quality management, data security and access management principles.
• Practical experience with Python, SQL and machine learning frameworks for predictive modelling and advanced analytics.
• Advanced proficiency in Microsoft Excel and reporting tools such as Power BI.
• Strong analytical capability across data analysis tools and techniques.
• Experience working with Azure-based analytics or AI environments.

Languages:

• English (written and oral fluency)

Nice?to?Have:

• Master’s degree in Business Analytics, Artificial Intelligence, Data Science, Engineering, Applied Economics, Computer Science or a related quantitative discipline.
• Strong communication and presentation skills.
• A collaborative approach and the ability to work effectively across teams.