Product Owner, Data Products & Onboarding

The Product Owner, Data Products & Onboarding at Fitch Group leads delivery for an assigned portfolio of data products within the Data Marketplace domain, working through cross-functional pods from product definition through production and ongoing lifecycle management.

Role Overview

This position owns a set of data products in the Data Products & Onboarding domain. The role partners with business stakeholders, data producers and data consumers, and technology teams to ensure solutions are delivered, operated, and continuously improved across the enterprise data ecosystem.

Responsibilities

• Own an assigned portfolio of data products within the Data Products & Onboarding domain.
• 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.

Requirements

• 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 or federated access.
• Experience with technologies such as AWS/S3, Starburst/Trino, Spark, Snowflake or Databricks, or comparable platforms.
• Strong product management capabilities across roadmap, backlog, prioritization and requirements, translating business needs into scalable data-product solutions.
• Strong stakeholder leadership across business, engineering, architecture and governance teams.

Technologies

• AWS/S3
• Starburst/Trino
• Spark
• Snowflake
• Databricks

Impact

• A highly visible product role within Fitch’s enterprise data ecosystem.
• The opportunity to shape how governed enterprise data products are designed, delivered, operated, and continuously improved.
• A role at the intersection of data product management and data engineering, partnering with business, technology and data teams to turn complex data needs into trusted data products that enable safe innovation with data at scale.

Additional Differentiators

• Financial markets, credit, risk or financial-data experience.
• Prior data engineering, data architecture or technical data-product experience.

Location and Work Arrangement

New York, NY, US (hybrid) with an expectation of 2 to 3 days a week in the office, based on your line of business and location.

Compensation

The expected base pay rate for the role is USD 130,000 to USD 160,000 per year.

Benefits

• Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location.
• Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs.
• Investing in Your Future: Retirement planning, financial wellness and tuition reimbursement programs.
• Health & Wellness: Comprehensive healthcare offerings.
• Supportive Parenting Policies: Generous global parental leave plan.
• Giving Back: Paid volunteer days and support for community engagement initiatives.

How You’ll Fit

This role aligns best with candidates who meet the core requirements across enterprise data product ownership, data architecture and delivery patterns, and strong product management and stakeholder leadership.