Data Products & Onboarding Product Owner

Fitch Group•New York, NY

17h•Hybrid

About The Position

Fitch Group is seeking a Data Products & Onboarding Product Owner for its Technology & Data Team, based out of the New York office. The role reports to the Data Tools & Capabilities Product Leader, Fitch Data Marketplace. Fitch’s Chief Data Office leads enterprise data strategy, with the Data Marketplace enabling employees to find, understand, and use governed data across business workflows, analytics, and AI. The Data Tools & Capabilities product domain defines and evolves shared technology capabilities powering the Marketplace and the broader enterprise data ecosystem. The Product Owner will own an assigned portfolio of Marketplace technology capabilities, partnering with business stakeholders and engineering teams to define product strategy, roadmaps, priorities, and delivery. The role is accountable for ensuring capabilities are scalable, secure, reusable, operationally resilient, and deliver measurable enterprise value. The portfolio may include core Marketplace platform services, self-service capabilities, Express APIs, the Data Lab Platform, observability, operational tooling, and AI-enabling platform capabilities. The Product Owner executes the roadmap and lifecycle plan, translates business and technical needs into product priorities, manages backlogs across multiple engineering teams, and makes trade-offs to sustain delivery. They lead cross-functional delivery pods, balance business priorities with technical dependencies, operational risk, and engineering capacity, and drive delivery commitments while resolving blockers and ambiguity. They also oversee operational readiness and lifecycle management, monitor adoption and service health, and prioritize improvements to scalability, resilience, usability, and efficiency. The role collaborates with Data Products & Onboarding, Data User Experience & Intelligence, Product Operations, Data Governance, CISO, SRE, Emerging Technology, engineering, architecture, and business teams. These partnerships support onboarding and operationalization of data products, intuitive user experiences, release readiness and adoption, and compliance with enterprise data, technology, AI governance, and information security standards. Fitch describes its work environment as AI-enabled and seeks colleagues who are comfortable with AI or curious and eager to develop their AI literacy.

Requirements

10+ years of experience across product management, enterprise platforms, cloud technologies, or related disciplines.
Strong bias toward execution and comfort operating within a defined strategy and roadmap.
Outcome-focused mindset, with success measured by what is shipped and adopted rather than only what is planned.
Demonstrated grit and perseverance, including a track record of delivering initiatives through organizational friction, shifting priorities, and technical complexity.
Strong understanding of cloud platforms, APIs, virtualization/federation, self-service architectures, modern data platforms, and AI.
Experience working with technologies such as AWS, Starburst/Trino, Snowflake, Spark, Databricks, Kafka, or similar technologies.
Strong stakeholder management across engineering, architecture, governance, and business teams.
Demonstrated ability to translate business needs into scalable technology capabilities.

Nice To Haves

Experience working in financial services or another highly regulated industry.
Experience leading enterprise platform products.
Experience building reusable self-service capabilities.
Experience supporting AI platforms, semantic technologies, MCPs, or agentic architectures.
Experience with enterprise data marketplaces or internal developer platforms.

Responsibilities

Own and execute the roadmap and lifecycle plan for assigned technology capabilities in partnership with the Product Leader.
Translate business and technical needs into clear product priorities.
Own and groom product backlogs and prioritize work across multiple engineering teams, making trade-off decisions to maintain delivery progress.
Establish success measures and drive outcomes, including adoption, rather than focusing only on outputs.
Lead cross-functional delivery pods responsible for assigned capabilities.
Partner with engineering leads to deliver high-quality capabilities using AI DLC.
Balance business priorities, technical dependencies, operational risk, and engineering capacity.
Drive delivery commitments and planning, resolving blockers, ambiguity, and competing priorities.
Own enterprise technology capabilities, including core Marketplace platform services, self-service capabilities, Express APIs, the Data Lab Platform, platform observability, operational tooling, and AI-enabling platform capabilities.
Own operational readiness and lifecycle management for assigned capabilities.
Monitor adoption, service health, platform performance, and user feedback.
Prioritize enhancements that improve scalability, resilience, usability, and operational efficiency.
Partner with engineering on incident management and continuous improvement.
Partner with Data Products & Onboarding to accelerate onboarding and operationalization of data products through improved onboarding tools.
Partner with Data User Experience & Intelligence to ensure technology capabilities enable intuitive user experiences.
Partner with Product Operations on planning, release readiness, communications, adoption, and operational reporting.
Partner with Data Governance, CISO, SRE, and Emerging Technology to ensure compliance with enterprise data, technology, and AI governance standards and information security policies.