The UX Researcher will design and conduct qualitative and mixed-method research, collaborating with cross-functional teams to inform product decisions while enhancing research operations.

Lead global growth marketing for Financial Services and Trading, executing integrated campaigns, managing a team, and optimizing performance to drive revenue growth.

Lead short-term (≈24 month) global crude oil analysis and price forecasting, produce forward-looking thought leadership, build senior client relationships, represent the firm publicly, develop related products, and coach analysts.

The Senior Data Manager will establish and implement a data governance framework for the Snowflake platform, ensuring data quality, security, and alignment with AI/ML requirements while collaborating with various teams to optimize data usage for insights and analytics.

Design and manage data infrastructure with a focus on Snowflake, data modeling, and engineering. Lead data architecture and governance, ensuring quality for AI applications and analytics.

Lead a team of Customer Success Managers in the Power & Tech vertical, ensuring customer adoption and retention while collaborating cross-functionally to enhance operational efficiency and customer outcomes.

The Senior Data Scientist will lead AI-native capabilities development, build machine learning models, and collaborate across teams for advanced analytics supporting energy market strategies.

The VP, Head of Product Marketing will lead product narrative development, team building, and growth strategies in the energy sector, utilizing AI and analytics.

The Principal Consultant will lead commercial and strategic consulting projects in Gas & LNG, ensuring high-quality deliverables and managing client relationships across EMEA.

The Director of Customer Success will lead initiatives to operationalize customer success, ensuring high-quality post-sale experiences, driving customer engagement, and improving retention through strategy and process optimization.

As a Senior MLOps Engineer, you will design robust ML infrastructure, drive the MLOps vision, optimize pipelines, and mentor teams while collaborating with data scientists and engineers.