Data Platform Product Lead: Self-Service & Governance

Early Warning®

Scottsdale (AZ)

Hybrid

USD 106,000 - 142,000

Full time

14 days+
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Benefits offered by this job

Healthcare Coverage
401(k) Retirement Plan
Paid Time Off
Paid Parental Leave
Maven Family Planning

Job summary

Early Warning Services is seeking a Technical Product Manager for the Data & AI team to define and deliver the next generation of enterprise data platform capabilities, enabling self-service workflows for data ingestion, governance, and observability.

You will translate complex technical needs into product requirements, partnering with Data Engineering, Platform Engineering, Analytics, Architecture, Governance and Security to improve developer productivity and ensure secure, governance-aligned

Qualifications

  • Bachelor’s degree in STEM, computer science, information systems, engineering or related field.
  • 5+ years in Product Management, Data Product Management, Platform Product Management or related disciplines.
  • 3+ years working with data engineers, software engineers, analysts, or data scientists.
  • Experience delivering internal platforms, developer tools, or enterprise technology capabilities.
  • Strong understanding of data pipelines, governance, observability, and deployment.

Responsibilities

  • Execute the product roadmap for enterprise data platform capabilities including ingestion, governance, metadata, and self-service workflows.
  • Collaborate with Data Engineering, Platform Engineering, Analytics, Architecture, Security, and Governance teams.
  • Translate user needs into platform requirements and product enhancements for internal users.

Skills

Stakeholder management
Communication skills
Agile methodologies
SQL knowledge
Data platform concepts

Education

Bachelor’s degree in STEM/CS/IS/Engineering
Master’s degree in STEM or related field

Tools

Jira
Snowflake
Databricks

Job description

Early Warning Services is seeking a Technical Product Manager for the Data & AI team to define and deliver the next generation of enterprise data platform capabilities, enabling self-service workflows for data ingestion, governance, and observability.

You will translate complex technical needs into product requirements, partnering with Data Engineering, Platform Engineering, Analytics, Architecture, Governance and Security to improve developer productivity and ensure secure, governance-aligned

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