Technical Product Manager - Data Platform & AI (Hybrid)

Early Warning Services LLC; Chicago (IL); Hybrid; USD 128,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Paid parental leave

HSA/FSA benefits

Job summary

Early Warning Services LLC is seeking a Technical Product Manager to lead the Data & AI platform initiatives. You will define the vision, roadmap, and execution for internal‑facing tools that help data engineers, analysts, and scientists discover, govern, and deploy data at scale in a hybrid work environment across multiple US cities.

We value collaboration with data and engineering teams and require 5+ years in product or data platform roles, Agile experience, and strong SQL/data skills.

Qualifications

• Bachelor's degree in STEM, CS, or engineering.
• 5+ years in product/data platform roles.
• 3+ years with data/engineering teams.
• Experience delivering internal platforms or dev tools.
• Strong knowledge of data pipelines and governance.

Responsibilities

• Define and execute the roadmap for enterprise data platform capabilities.
• Collaborate with data and platform teams to deliver scalable solutions.
• Translate user needs into platform requirements and enhancements.
• Develop self-service experiences for data onboarding and discovery.
• Establish success metrics and measure platform impact.
• Promote consistency across data products and pipelines.

Skills

Product Management

Data Product Management

Platform Product Management

Data Engineering

Analytics Engineering

Stakeholder management

SQL

Agile / Jira

Education

Bachelor's degree in STEM/CS/Engineering

Tools

Jira

Snowflake

Databricks

SQL

Job description

Early Warning Services LLC is seeking a Technical Product Manager to lead the Data & AI platform initiatives. You will define the vision, roadmap, and execution for internal‑facing tools that help data engineers, analysts, and scientists discover, govern, and deploy data at scale in a hybrid work environment across multiple US cities.

We value collaboration with data and engineering teams and require 5+ years in product or data platform roles, Agile experience, and strong SQL/data skills.