Head of Data - Renewable Energy
SKILLS
FULL DESCRIPTION
Location: London (Hybrid – Southeast England asset base)
Key Responsibilities
· Design and build bespoke dashboards for solar and BESS assets (performance, availability, revenue, faults)
· Translate SCADA, EMS, operational and commercial data into intuitive, decision-ready visualisations for both internal and external stakeholders
· Track and analyse asset KPIs including the full revenue stack, yield, degradation, curtailment, and battery cycling
Hands-On Data Infrastructure
· Build and maintain data pipelines integrating SCADA, IoT, and third-party systems
· Structure datasets to enable reliable and scalable analytics and reporting
· Develop a robust and secure cloud-based data environment (e.g. AWS, Azure)
Asset Performance & Optimisation
· Work with the commercial and technical teams to identify performance trends, anomalies, and optimisation opportunities
· Support BESS dispatch optimisation and solar asset performance decisions
· Enable predictive and condition-based maintenance insights
Commercial & Trading Support
· Partner with Asset Management and Trading teams to support revenue optimisation
· Contribute to forecasting and trading strategy through data insights
· Act as the central point of contact for operational data
AI & Future Capability Development
· Lay the foundations for AI and machine learning applications across the portfolio
· Explore use cases in forecasting, anomaly detection, and automated optimisation (technical & commercial)
· Support the long-term digital and data strategy of the business
Key Requirements
Essential:
· Strong experience working with energy or infrastructure data (renewables, utilities, or power markets preferred)
· Understanding of cloud database structuring for resilience and security
· Ability to lead in the designing of the data ecosystem and ensuring its reliability in delivering key operational metrics
· Experience in data capture and processing from a range of sources
· Proven experience building visualisations, dashboards and data tools from scratch
· Hands-on capability with data tools (e.g. Python, SQL, ClickHouse, Grafana, Power BI, Tableau, or similar)
· Familiarity with SCADA, EMS, or operational asset data systems
· Understanding of solar PV and/or BESS performance metrics is advantageous
· Exposure to or strong interest in AI/ML applications
Desirable attributes:
· Ideal candidate should be a strong self-starter given they will be responsible for building out and overseeing this new business capability
· Although a new standalone function within the business, it will involve close working relationships with the management team, technical and commercial leads and therefore the candidate should be a proven team player
· An attention to detail will be required to ensure the quality of the data being inputted into the data ecosystem, and hence the quality of its outputs
· A natural curiosity to investigate and challenge when things do not appear to be right would also be highly valued