Senior Data Platform & AI Product Manager

spgi

New York (NY)

On-site

USD 110,000 - 149,000

Full time

4 days ago
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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

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.

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