Hybrid AI-First Data Platform Product Manager

Hiscox SA; Atlanta (GA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

401(k) matching

Health insurance (medical, vision, and

Dental coverage

Paid time off

Parental leave

Sabbatical program

Job summary

Hiscox SA is seeking a Data Product Manager for core change and steady-state data platforms, including conformed and curated data layers, BAU feeds, and AI-enabled enhancements. You will own the roadmap, collaborate with data engineering, analytics, and architecture, and align with business stakeholders across the US value chain.

You will balance core change with ongoing data quality, governance, and modernization efforts, ensuring reliable, scalable data products that support AI-enabled use

Qualifications

• Minimum 5 years of experience as a Product Manager or Product Owner with a data platform, data engineering, or core data focus.
• Familiarity with data frameworks and methodologies, data warehousing concepts, governance, and data quality.
• Hands-on data analysis and SQL-based investigation to validate data quality and inform product decisions.

Responsibilities

• Own the product vision, roadmap, and backlog for core/foundational data platforms and BAU feeds.
• Balance new demand with health of steady-state operations: data quality and platform stability.
• Embed AI and automation into data discovery, modeling, quality monitoring, and support workflows.

Skills

Data product management

SQL

Cloud data platforms

Stakeholder management

AI/GenAI awareness

Tools

Databricks

BigQuery

Job description

Hiscox SA is seeking a Data Product Manager for core change and steady-state data platforms, including conformed and curated data layers, BAU feeds, and AI-enabled enhancements. You will own the roadmap, collaborate with data engineering, analytics, and architecture, and align with business stakeholders across the US value chain.

You will balance core change with ongoing data quality, governance, and modernization efforts, ensuring reliable, scalable data products that support AI-enabled use