Data Products & Onboarding Product Owner

Fitch Group•New York, NY

2d•$150,000 - $170,000•Hybrid

About The Position

Fitch Group is seeking a Data Products & Onboarding Product Owner for its Technology & Data team, based in the New York office. The role reports to the Data Tools & Capabilities Product Leader, Fitch Data Marketplace, and sits within the Chief Data Office, which leads the firm's enterprise data strategy. Fitch's Data Marketplace helps employees find, understand, and use governed data across business workflows, analytics, and AI. The Product Owner owns an assigned portfolio of Marketplace technology capabilities and partners with business stakeholders and engineering teams to define product strategy, roadmaps, priorities, and delivery. The role is accountable for ensuring these capabilities are scalable, secure, reusable, operationally resilient, and deliver measurable enterprise value. It executes the roadmap and lifecycle plan, translates business and technical needs into priorities, manages backlogs across multiple engineering teams, sets outcome measures, and leads cross-functional delivery. Assigned capabilities may include core Marketplace platform services, self-service capabilities, Express APIs, Data Lab, platform observability, operational tooling, and AI-enabling platform capabilities. The role also owns operational readiness and lifecycle management, monitors adoption and service health, and works with engineering on incidents and continuous improvement. It collaborates across Data Products & Onboarding, Data User Experience & Intelligence, Product Operations, Data Governance, CISO, SRE, and Emerging Technology to support onboarding, user experience, release readiness, adoption, governance, and security. Fitch offers a hybrid work environment with two to three days per week in the office, depending on line of business and location. The position's expected annual base pay in New York is $150,000–$170,000 USD; actual salary is individualized. Total compensation may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

Requirements

10 or more 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, measured by what is shipped and adopted rather than only what is planned.
Demonstrated grit and perseverance, including a record of carrying 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.
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

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, prioritize across multiple engineering teams, and make trade-offs to maintain delivery progress.
Establish success measures and drive outcomes, not just 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, and resolve blockers, ambiguity, and competing priorities.
Own enterprise technology capabilities, potentially including core Marketplace platform services, self-service capabilities, Express APIs, Data Lab, 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 support 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 capabilities comply with enterprise data, technology, and AI governance standards and information security policies.

Benefits

Dedicated training, leadership development, and mentorship programs.
Retirement planning and financial wellness programs.
Tuition reimbursement.
Comprehensive healthcare offerings.
A global parental leave plan.
Paid volunteer days and support for community engagement initiatives.
Potential commission earnings, discretionary bonuses, and long-term incentives, depending on position.

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