Senior Technical Product Manager, Data Engineering & Data Science Solutions

S&P Global; Princeton (NJ); On-site; USD 100,000 - 149,000; Full time

Job summary

S&P Global is seeking an experienced Product Manager to lead data infrastructure strategy across onboarding, storage, and core platform engines in Princeton, NJ. You will drive cross‑functional teams to deliver analytics infrastructure and enterprise data solutions with a focus on reliability and scale.

You will collaborate on MLops, data quality, governance, and ontology integration while translating business needs into technical specs and leading governance guardrails.

Qualifications

• 8+ years in product management focused on data platforms, analytics infrastructure, or enterprise data solutions.
• Hands-on Databricks experience with Delta Lake, MLflow, and Databricks SQL.
• Strong data engineering knowledge with Spark, Kafka, Airflow or similar frameworks.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Understanding of MLOps processes: deployment, monitoring, lifecycle management.
• SDLC/Agile/DevOps knowledge.
• Bachelor’s degree in CS/Engineering/Data Science or equivalent.

Responsibilities

• Drive product strategy and roadmap for data infrastructure components like onboarding, storage, and core engines.
• Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions.
• Own the vision for disaster recovery and resiliency frameworks to ensure platform reliability.
• Define ontology integration strategy to enhance semantic data capabilities.
• Collaborate on implementing MLOps for model lifecycle management.
• Develop innersource ecosystem strategy for cross-team collaboration.
• Partner with stakeholders to define requirements for common data pipelines and tooling.
• Champion data quality initiatives across all data processing workflows.

Skills

Data platforms

Databricks features

Spark

Cloud platforms

MLOps

SDLC

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Databricks Delta Lake

MLflow

Databricks SQL

Apache Spark

Kafka

Airflow

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 infrastructure components, including data onboarding, storage solutions, and core platform engines
• Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics
• Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity
• Define and execute an ontology integration strategy to enhance knowledge management excellence and semantic data capabilities
• Collaborate with engineering teams to implement MLOps practices for machine learning operations and model lifecycle management
• Develop and maintain an innersource ecosystem strategy to enable cross-team collaboration on core platform capabilities within defined governance guardrails
• Partner with stakeholders to define requirements for common data pipeline capabilities and shared tooling that data engineering teams utilize when building enterprise data workflows
• Champion data quality initiatives and drive technical implementation of data quality tools and monitoring solutions that ensure accuracy and consistency across all data processing workflows

What We’re Looking For:

Basic Qualifications

• 8+ years of product management experience focused on data platforms, analytics infrastructure, or enterprise data solutions
• Hands-on experience with advanced Databricks features , including Delta Lake, MLflow, and Databricks SQL for end‑to‑end data and ML pipeline management
• Strong technical background with hands‑on experience in data engineering technologies such as Apache Spark, Kafka, Airflow, or similar distributed processing frameworks
• Proven experience with cloud data platforms, including AWS, Azure, or Google Cloud Platform
• Understanding of Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
• Strong knowledge of standard Software Development Life Cycle (SDLC) methodologies, including Agile, Scrum, and DevOps practices
• Demonstrated ability to translate business requirements into technical product specifications while working closely with cross‑functional engineering teams
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent professional experience

Preferred Qualifications

• Advanced degree (MBA, MS in Computer Science, Data Science, or related field)
• Experience with data governance frameworks and regulatory compliance requirements in enterprise environments
• Background in financial services, fintech, or other regulated industries with a strong understanding of data privacy and security requirements
• Experience leading cross‑functional teams and managing vendor or partner relationships within complex technical ecosystems

Compensation/Benefits Information: (This section is only applicable to US candidates)

S&P Globalstatesthat theanticipatedbase salary range for this position is $100,000 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,licensesand certifications.

In addition to base compensation, this role is eligible for an annual incentive plan.This role is not eligible foradditionalcompensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receiveadditionalS&P Global benefits. For more information on thebenefitswe provide to our employees, please click here.

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.

Our Values:

Integrity, Discovery, Partnership

Throughout our history, the world’s leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you cantake care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

• 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged 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.

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.

If you need an accommodation during the application process due to a disability, please send an email to: [e-mail] and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)