Data Products Owner — Onboarding & Marketplace

Hearst Corporation; New York (NY); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Hybrid work environment

Learning & mobility

Retirement planning

Health & wellness

Parental leave

Volunteer days

Job summary

Fitch Group is seeking a Product Owner for Data Products & Onboarding based in New York. The role leads data product delivery across cross-functional teams, partnering with business, data, and tech stakeholders to turn complex data needs into trusted data products that scale and enable safe innovation with data at scale.

You’ll sit at the intersection of data product management and data engineering, shaping governance, delivery patterns, and platform evolution while collaborating with enterprise

Qualifications

• 8+ years across data products, data platforms, data engineering or related disciplines, including significant product ownership or management responsibility.
• Experience owning complex enterprise data products from definition through production and lifecycle management.
• Strong technical understanding of modern data architectures and delivery patterns, including data pipelines, ingestion and transformation, cloud data lakes, and virtualized/federated access.

Responsibilities

• Own an assigned portfolio of data products within the domain and lead product delivery through cross-functional pods.
• Partner with business stakeholders, data producers and consumers, and technology teams from definition through production and lifecycle management.

Skills

Data product ownership

Roadmap planning

Backlog prioritization

Stakeholder leadership

Data governance

Education

Bachelor’s degree or equivalent in a related field

Tools

AWS/S3

Starburst/Trino

Spark

Snowflake

Databricks

Job description

Fitch Group is seeking a Product Owner for Data Products & Onboarding based in New York. The role leads data product delivery across cross-functional teams, partnering with business, data, and tech stakeholders to turn complex data needs into trusted data products that scale and enable safe innovation with data at scale.

You’ll sit at the intersection of data product management and data engineering, shaping governance, delivery patterns, and platform evolution while collaborating with enterprise