Project Delivery and Reporting Lead: Carbon Policy - London, United Kingdom - Eaglecliff Limited
Description
Exciting opportunity for a Project Delivery and Reporting Lead to join this global Energy company.The purpose of the Trading & Supply business is to maximize sustained value creation across commodity markets in support of overarching Group plc objectives of material cash generation and a high return on capital.
The Role:
To design, document, execute, monitor and report on BAU & ad-hoc projects necessary for the delivery of business objectives and the management of associated risks.
- Net Carbon Footprint/Intensity (BAU): responsible for delivering accurate and timely quarterly volume and Power Carbon Intensity reporting, reviewing the methodology and scope of such reporting and working with the Energy Leadership Team as a cultural ambassadorfor NCF business strategy.
- Carbon Border Adjustment Mechanism (BAU): together with the Business Integration & Assurance Manager (BIAM), responsible for delivering accurate and timely quarterly CBAM reporting, as well as continuously reviewing the methodology and scope for such reporting.
- Act as the lead for NCF and Power Carbon Intensity reporting scope & process, and validation of regional thirdparty Gas & Power purchases/sales
- Work alongside the NCF Integration lead & Energy Americas lead to adapt and enhance the global methodology based on evolution of aspiration / requirements
- Accountable owner of annual scope assessment + yearonyear maintenance of the annual scope assessment to ensure it is fit for purpose,
- Work collaboratively with business stakeholders and (SMEs) in the Carbon Management Framework, Regulatory Affairs and Indirect Tax.
- Proficiency in Excel, PowerPoint, and PowerBI
- Knowledge of (ETRM) systems
- A passion for effecting change and driving forward reporting and insight that is pivotal to the Energy Transition
- Willingness to immerse oneself in carbon policy and the Energy Transition Program
- Strong problem solving and analytical skills, including the ability to analyse multiple, large and ambiguous datasets, whilst incorporating risk and uncertainty appropriately to support decision making
- Ability to define requirements to build adequate reporting models
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