Senior Platform & Data PM — AI, ML & Analytics

S&P Global, Inc.

Princeton (NJ)

On-site

USD 110,000 - 149,000

Full time

7 days ago
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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

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.

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