Director Commercial Analytics

Company overview:

ContourGlobal is a leading independent power producer with a diverse and expanding portfolio of gas-fired and renewable energy assets across the United States. We are actively growing our presence through a combination of greenfield development and strategic acquisitions, including both operating and under-development thermal and renewable projects.

As part of our ambitious U.S. growth strategy, we are establishing a new Energy Management & Commercial Office to unlock value across our portfolio. This team will lead power trading, optimize asset performance, manage portfolio risk, and structure long-term energy offtake agreements. We are building this function from the ground up—bringing in top talent and investing in robust systems, data infrastructure, and analytics capabilities to support dynamic market participation and long-term growth.

Position overview:

We are seeking a hands-on and strategic US Director Commercial Analytics to lead the design, implementation, and management of ContourGlobal’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.

The ideal candidate will lead a team of quantitative analysts, partner closely with cross-functional commercial leaders, and serve as a key thought partner to the Chief Commercial Officer. You will play a critical role in shaping how analytics inform trading, deal structuring, and performance optimization across our growing U.S. asset base.

Key responsibilities

:

Build & Lead the 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

Develop Quantitative Models

- 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

Qualifications:

- 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

Skills:

- Data Architecture & Engineering: Expertise in scalable data infrastructure, including pipelines, SQL/NoSQL 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

Working Conditions:

- 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 ContourGlobal’s hybrid work policy.

Compensation:

- A highly competitive compensation package, including a base salary, performance bonus, and long-term incentives, will be offered, commensurate with experience and qualifications.

Our Values

- «We» is our greatest asset

- We respect and protect the environment

- We are doers, committed to doing things right

- We act with integrity and transparency

- We think and act like entrepreneurs

You can find

here

more about our Purpose, Mission and Values.

Working @CG:

- As a globally integrated team, we push boundaries, work collaboratively, and remain agile in the pursuit of excellence. With an entrepreneurial mindset, we encourage initiative and innovation. At ContourGlobal you are an employee, and you are also an owner. Our Employee Ownership Program allows our employee-owners to make a difference and drive the right power forward and make clean energy the natural choice for all!

- We foster a culture where individuals are empowered to succeed, contribute and shape the future of sustainable energy.

- Cross-border collaboration shapes our way of working: our diverse workforce reflects the multicultural environment we embrace every day.

- We offer a competitive compensation package: we believe in meritocracy and rewarding meaningful contributions.