This role pays less than
95%
of similar roles. Most pay
$175,500–$223,005
— the shaded band above.
At the midpoint, this role pays about
$124k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About S&P Global
S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
S&P Global currently has
46 open roles
on FindRole.
Listed pay typically runs
$142,000–$200,000
across 37 roles with salary data.
Senior Technical Product Manager, Data Engineering & Data Science Solutions joins a global team focused on building scalable, enterprise-grade platforms and shared capabilities. This role involves driving product strategy for critical data infrastructure components including onboarding, storage solutions, and core platform engines. The individual will lead cross-functional teams to deliver data engineering capabilities, disaster recovery frameworks, and MLOps practices for model lifecycle management. Key responsibilities include defining ontology integration strategies, managing an innersource ecosystem, and implementing data quality monitoring tools. The role requires expertise in Databricks features like Delta Lake, MLflow, and Databricks SQL, alongside experience with Apache Spark, Kafka, Airflow, and cloud platforms such as AWS, Azure, or Google Cloud Platform. The position addresses the technical challenge of building reliable, high-quality data processing workflows and infrastructure to support enterprise-scale analytics and knowledge management.
What does a Technical Product Manager earn?
Median $182500 from 33 postings across 16 companies.
Remote (New York, NY)+410 days ago
$106,605–$284,280
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