Senior Technical Product Manager, Data Engineering Solutions

S&P Global • Greenwood Village, CO

1d • Remote

About The Position

The Team We are a global but tight ‑ knit team driven by collaboration and enablement, focused on building scalable, enterprise ‑ grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end ‑ user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale.

About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy .

What’s In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Requirements

• 7+ years of experience in product management, or a combination of product management and technical roles, delivering complex software, platform, data, or infrastructure solutions
• Strong understanding of cloud-native architectures, software platforms, and enterprise technology ecosystems
• Familiarity with modern data platforms such as Databricks, Snowflake, or similar technologies used for large-scale data processing and analytics
• Familiarity with data platforms, data pipelines, analytics workflows, or related technical concepts
• Working knowledge of software development lifecycle (SDLC) methodologies, including Agile and DevOps practices
• Ability to engage effectively with software, platform, and data engineering teams on technical architecture, platform capabilities, and product tradeoffs
• Strong communication and stakeholder management skills, with the ability to influence engineers, architects, data practitioners, and business leaders
• Proven ability to define product vision, prioritize investments, and deliver measurable business outcomes
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience

Nice To Haves

• Experience working with Databricks technologies, including Delta Lake, MLflow, Databricks SQL, or similar lakehouse capabilities
• Experience supporting data engineering, analytics, machine learning, AI, or platform products
• Understanding of machine learning concepts, model lifecycle processes, and MLOps practices
• Prior experience in software engineering, data engineering, analytics engineering, or related technical disciplines
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Exposure to enterprise data quality, resiliency, governance, metadata management, or related platform initiatives
• Experience working with internal platforms, developer platforms, or shared enterprise capabilities
• Advanced degree in a technical or business-related discipline

Responsibilities

• Drive product strategy and roadmap for critical data and platform capabilities, including data onboarding, storage solutions, and core platform services
• Lead cross-functional teams to deliver shared data engineering capabilities that enable scalable, enterprise-wide analytics and AI solutions
• Partner with stakeholders to define requirements for common data platform capabilities, pipeline tooling, and developer experiences used across enterprise data workflows
• Own product vision for platform resiliency, disaster recovery, and operational readiness to ensure reliability, scalability, and business continuity
• Collaborate with engineering teams to evolve machine learning and AI platform capabilities, including support for model lifecycle management and MLOps practices

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• From retail discounts to referral incentive awards—small perks can make a big difference.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior