Director Commercial Analytics

Contour Global Overview

Contour Global, a KKR Company, led by CEO Antonio Cammisecra, is an established Independent Power Producer (IPP) developing, acquiring, and operating electricity generation and storage assets worldwide.

The company currently manages 5.3 GW of installed capacity across different power generation technologies and asset categories, with an additional 1 GW of renewables under construction and a further 9.8 GW under development.

The operational footprint of the company extends to 18 countries across Europe, Africa, Asia, North and South America.

The company has committed to speed up the decarbonization of its portfolio with a sustainable transition of its thermal fleet, the repowering of existing renewable assets and the organic development of new renewable projects.

We are seeking a hands‑on and strategic US Director Commercial Analytics to lead the design, implementation, and management of Contour Global’s commercial analytics function in the U.S. This foundational role will be responsible for building the data infrastructure and quantitative modeling tools needed to optimize energy trading, manage portfolio risk, and drive asset‑level insights.

Build & Lead Analytics Function

• Hire, develop, and manage a high‑performing team of Senior and Junior Quants
• Establish scalable analytics processes, tools, and governance frameworks to support real‑time and long‑term commercial decision‑making
• Define and evolve the analytics vision and roadmap in alignment with business growth and strategic priorities

Design & Manage Data Infrastructure

• Build and maintain a robust data architecture that integrates market, asset, trading, and financial data
• Develop automated pipelines and storage solutions to support large‑scale, real‑time energy data
• Ensure data quality, consistency, and accessibility across the commercial organization
• Lead development of advanced models for forecasting, pricing, risk management, and asset optimization
• Support structuring of Power Purchase Agreements (PPAs), fuel procurement strategies, and market bidding decisions
• Ensure all models are governed, validated, and integrated into energy trading and risk systems (ETRM)

Enable Data‑Driven Decisions

• Deliver insight‑driven recommendations to support trading, origination, and risk mitigation
• Collaborate across front‑, middle‑, and back‑office teams to embed analytics into key commercial workflows
• Develop dashboards and reporting tools to enhance visibility into portfolio and asset performance

• 10+ years of experience in commercial analytics, quantitative modeling, or data architecture within the energy, utilities, or commodity trading sectors
• Proven leadership in building and scaling technical or analytics teams
• Deep familiarity with U.S. power markets (e.g., ERCOT, PJM) and renewable technologies
• Expertise in Python, SQL, data pipeline tools, cloud platforms, and visualization tools (e.g., Power BI, Tableau)
• Experience with ETRM systems and integration across trading and operational data environments
• Bachelor’s degree required, Master’s in a quantitative or technical field preferred

• Data Architecture & Engineering:
  Expertise in scalable data infrastructure, including pipelines, SQL/No
  
  SQL storage, cloud platforms, and governance frameworks
• Programming & Modeling:
  Advanced skills in Python (preferred), R, or MATLAB for statistical modeling and algorithm development
• Quantitative Techniques:
  Strong background in time‑series forecasting, optimization, and machine learning
• ETRM Systems:
  Familiarity with energy trading and risk management platforms and their integration with commercial operations
• Business Intelligence:
  Experience building dashboards and reports using Power BI or Tableau
• Analytical Tools:
  Strong Excel skills for scenario modeling and ad hoc analysis
• Data Ecosystems:
  Exposure to big data environments and modern data warehousing tools is a plus

• This role may require occasional international travel to support global teams and attend industry events.
• The position is typically based in a corporate office setting, with the possibility of remote work arrangements as part of…