Senior Technical Product Manager, Data Engineering Solutions

S&P Global, Inc.; Princeton (NJ); On-site; USD 110,000 - 149,000; Full time

Benefits offered by this job

Health care coverage

Generous time off

Continuous learning

Retirement planning

Education assistance

Job summary

S&P Global is seeking a Senior Product Manager to lead data platform and analytics capabilities in Princeton, NJ. You will drive strategy, partner with cross‑functional teams, and shape the data and AI platform roadmap to enable scalable enterprise solutions.

You will collaborate with engineering to evolve ML/AI capabilities, ensure reliability, and manage stakeholder expectations in a fast‑paced, global environment.

Qualifications

• 7+ years of product management experience delivering complex software/platform/data solutions.
• Strong understanding of cloud-native architectures and enterprise ecosystems.
• Experience with Databricks, Snowflake or similar data platforms.
• Familiarity with SDLC, Agile and DevOps practices.
• Ability to engage with engineering teams on architecture and product tradeoffs.
• Excellent communication and stakeholder management skills.
• Bachelor's degree in CS/Engineering/IS/Data Science or equivalent.

Responsibilities

• Define product strategy and roadmap for data onboarding, storage, and platform services.
• Lead cross-functional teams to deliver enterprise data analytics capabilities.
• Partner with stakeholders to specify requirements for data platform capabilities and tooling.
• Own platform resiliency, DR, and operational readiness for reliability.
• Collaborate on ML/AI platform capabilities including model lifecycle and MLOps.

Skills

Cloud-native architectures

Databricks

Snowflake

Data platforms

SDLC & Agile

DevOps

Stakeholder management

Product vision

Education

Bachelor's degree in CS/Eng/IS/Data Science or equivalent

Tools

Databricks

Snowflake

Delta Lake

MLflow

Job description

About the Role

Grade Level (for internal use): 11

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.

Responsibilities and Impact

• 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

What We’re Looking For:

Basic Qualifications

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

Preferred Qualifications

• 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

Compensation/Benefits Information

Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $110,000 to $149,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: 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.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. US Candidates Only: Know Your Rights: Workplace discrimination is illegal

Global Hiring and Opportunity at S&P Global

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. 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 in a rapidly changing global landscape.

Company Overview

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.