About the Role:

Grade Level (for internal use):

The Team:

The Product Operations team drives operational excellence and strategic execution across S&P Global's Geoscience, Engineering and Upstream Data Science software portfolio, serving subsurface professionals worldwide with industry-leading platforms. Operating at the intersection of Product, Technology, Commercial, and Customer Success functions, the team values data-driven decision making, cross-functional collaboration, and customer-centric innovation. This highly visible team plays a critical role in the company's SaaS transformation journey while maintaining our position with the leadingas the trusted partner for energy industry professionals globally.

Responsibilities and Impact:

• Product Portfolio Operations & Performance: Design and implement best-in-class operating cadence across the ~$100M+ software portfolio, including standardized development workflows, release governance, and comprehensive performance frameworks tracking ACV, ARR, NRR, churn, and feature-level ROI to guide executive decision-making

• Cross-Functional Alignment & Strategic Execution: Serve as the connective tissue between Product, Engineering, Commercial, and Customer Success teams, leading quarterly business reviews, driving accountability against portfolio OKRs, and ensuring alignment between product roadmaps, commercial timelines, and go-to-market execution

• SaaS Transformation Leadership: Support the critical transition from legacy desktop software to cloud-native SaaS platforms, partnering with Product Management and Engineering on release velocity, usage-based pricing models, platform scalability, and operational readiness for new platform launches

• Customer-Centric Feedback Integration: Create structured mechanisms to capture and prioritize insights from Technical Advisors, Customer Support, and Commercial teams, translating feedback into actionable product improvements that enhance customer experience, retention, and drive product-led growth initiatives

• Go-to-Market & Commercial Enablement: Operationalize product launches across global markets, ensure strong alignment between product positioning, pricing, and packaging strategies, and support deal qualification frameworks while enabling expansion into underpenetrated markets

• AI/Analytics Integration & Innovation: Drive scalable AI and advanced analytics integration across the multi-product portfolio, supporting data-driven product investment decisions and enabling next-generation capabilities for subsurface professionals worldwide

What We're Looking For:

Basic Required Qualifications:

• 8+ years of experience in Product Operations, Product Management, Strategy, or Business Operations roles

• Proven experience in enterprise software or SaaS environments with demonstrated ability to operate effectively in complex, cross-functional organizations spanning Product, Engineering, and Commercial teams

• Strong analytical and financial acumen, including expertise with SaaS metrics such as ACV, ARR, NRR, churn analysis, and unit economics to drive data-driven decision making

• Experience building and implementing operating models, executive dashboards, performance frameworks, and execution processes that drive organizational alignment and accountability

• Exceptional communication and presentation skills with executive-level presence, including ability to facilitate cross-functional meetings, lead quarterly business reviews, and influence stakeholders at all levels

• Experience with product portfolio management and go-to-market operations, including product launches, release governance, and commercial enablement activities

• Bachelor's degree in Business, Engineering, Computer Science, or related field, with

Additional Preferred Qualifications:

• Experience in energy, geoscience, or engineering software markets with familiarity of subsurface workflows such as seismic interpretation, reservoir modeling, or production optimization

• Proven track record supporting desktop-to-SaaS platform transformations, including migration strategies, cloud-native architecture considerations, and change management for technical user bases

• Exposure to AI/ML-enabled products, advanced analytics platforms, or data science applications, particularly in technical or scientific software environments

• Background working with global teams and international customers, including experience with market expa