Senior Technical Product Manager, Data Engineering Solutions

spgi; New York (NY); On-site; USD 110,000 - 149,000; Full time

Job summary

S&P Global Energy seeks a product leader to drive the data and platform strategy across onboarding, storage, and core services. You will lead cross-functional teams to deliver scalable analytics and AI capabilities, shaping requirements for platform tooling and developer experiences.

You will own the vision for resiliency, DR, and operational readiness, collaborating with engineering to advance ML/AI platform capabilities and MLOps practices.

Qualifications

• 7+ years of experience in product management or related roles delivering complex software or data platforms.
• Strong understanding of cloud-native architectures and enterprise tech ecosystems.
• Familiarity with modern data platforms (Databricks, Snowflake or similar).
• Experience with SDLC, Agile and DevOps practices.

Responsibilities

• Drive product strategy and roadmap for data and platform capabilities, including onboarding and storage.
• Lead cross-functional teams to deliver data engineering capabilities for scalable analytics/AI.
• Define requirements for data platform capabilities, tooling and developer experiences.
• Own product vision for platform resiliency, disaster recovery, and operational readiness.
• Collaborate with engineering to evolve ML/AI platform capabilities and MLOps practices.

Skills

Product management

Cloud-native architectures

Data platform knowledge

SDLC & Agile/DevOps

Stakeholder management

Cross-functional leadership

Communication

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field

Tools

Databricks

MLflow

Delta Lake

Databricks SQL

MLOps

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:

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. For more information on the benefits we 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