Data & AI Product Leader, MLOps & Analytics

Early Warning Services LLC; San Francisco (CA); Hybrid; USD 122,000 - 203,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Paid time off

Parental leave

Family planning support

Job summary

Early Warning Services LLC is seeking a Technical Product Manager for the Data & AI team to drive the next generation of analytics platforms. You will translate stakeholder needs into data, model, and reporting requirements and work with analytics, MLOps, and engineering teams to enable enterprise data capabilities.

You will define roadmaps, set success metrics, and ensure data quality and governance across data products while collaborating with AI to support deployment pipelines on AWS and

Qualifications

• Bachelor's degree in STEM or related field.
• 5+ years' experience in product management, data management, or consulting with a proven record of high performance.
• 3+ years' hands-on experience with data teams (data engineers/scientists, etc.).
• Experience with Agile methodologies and Jira.

Responsibilities

• Define and deliver roadmap and technical requirements for data and analytics capabilities.
• Prioritize activities based on business impact and user needs.
• Gather requirements for data processing and storage to support model development and reporting.
• Ensure data governance, quality, lineage and metadata management are included in product development.
• Collaborate with AI and MLOps teams to support model deployment pipelines on AWS and on‑prem technologies.

Skills

SQL

Spark

Python

Agile

Education

Bachelor's in STEM

Master's in STEM

Tools

AWS

Salesforce

SQL Server

Hive

Spark

Kafka

EKS

Job description

Early Warning Services LLC is seeking a Technical Product Manager for the Data & AI team to drive the next generation of analytics platforms. You will translate stakeholder needs into data, model, and reporting requirements and work with analytics, MLOps, and engineering teams to enable enterprise data capabilities.

You will define roadmaps, set success metrics, and ensure data quality and governance across data products while collaborating with AI to support deployment pipelines on AWS and