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Data Tools & Capabilities Product Lead

Job in New York, New York County, New York, 10261, USA
Listing for: Fitch Ratings
Full Time position
Listed on 2026-08-24
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Engineering, IT Business Analyst, IT Project Manager
Salary/Wage Range or Industry Benchmark: 200000 - 235000 USD Yearly USD 200000.00 235000.00 YEAR
Job Description & How to Apply Below
Location: New York

Core Technology & Capabilities Domain Product Leader

Location:

New York

Reporting to:
Head of Enterprise Data Strategy within the Chief Data Office

Partnering closely with:
Data Technology, other Marketplace product teams, Marketplace Operations, Data Governance, and business teams across the enterprise

The Data Technology Products & Capabilities domain is responsible for defining and evolving technology-enabled capabilities that support Fitch’s internal Data Marketplace and related data ecosystem.

The domain focuses on the product strategy, roadmap, adoption, and business value of technical capabilities that enable multiple user personas to onboard, explore, transform, curate, share, discover, access, and consume data through the Data Marketplace and related solutions. The team partners closely with Data Technology, other Marketplace product teams, Marketplace Operations, and Data Governance to deliver performant, scalable, secure, and reusable capabilities that accelerate data adoption and innovation across the enterprise.

What We Offer
  • This is an opportunity to lead the technology-focused product domain as part of the larger product team that manages Fitch’s internal Data Marketplace, empowering employees to discover, access, share, and safely innovate with data at scale.
We’ll Count On You ToLead Data Technology Product Strategy
  • Define the vision, roadmap, and priorities for shared technology capabilities supporting Fitch’s Data Marketplace and related ecosystem.
  • Establish long-term capability strategies that improve scalability, self-service, interoperability, and adoption.
  • Translate business and product needs into capability roadmaps that drive measurable value across the enterprise.
Advance Self-Service, Federation & Innovation
  • Lead the evolution of self-service capabilities that enable data producers and consumers to share and access data with minimal friction.
  • Define reusable patterns for federation, automation, and capability integration.
  • Define the vision and roadmap for Data Lab and other innovation capabilities, including evaluation of emerging technologies and build-versus-buy opportunities.
Drive Capability Excellence, Adoption & Operational Readiness
  • Own the lifecycle, prioritization, and continuous improvement of data technology capabilities.
  • Define business requirements and success measures for scalability, usability, reliability, observability, security, resiliency, and cost efficiency.
  • Monitor adoption, service health, and business outcomes to ensure capabilities deliver value and meet user expectations.
  • Partner closely with Data Technology responsible for architecture, engineering, platform operations, and support to ensure capabilities are delivered and operated effectively.
Collaborate Across Broader Team
  • Partner with Data Products & Enablement product domain to improve onboarding, delivery, and operationalization of data products.
  • Partner with Data Experience product domain to ensure capabilities are surfaced through intuitive user experiences.
  • Partner with Data Governance team to ensure capabilities support enterprise policies, controls and other governance requirements.
  • Partner with Product Operations on intake, prioritization, materials and communications, adoption, service management, and performance reporting to ensure effective execution across domains.
  • Partner with AI Data Enablement and Emerging Technology teams to support emerging AI, semantic, and agent-enabled capabilities.
What You Need To Have
  • 10+ years of experience in data platform product management or related disciplines.
  • Experience defining product roadmaps and capability strategies for enterprise-scale data ecosystems.
  • Strong understanding of modern data architectures, cloud platforms, APIs/MCPs, data virtualization, federation, and self-service delivery patterns.
  • Experience working with technologies such as AWS, Starburst/Trino, Databricks, Snowflake, Kafka, etc.
  • Ability to translate business needs into scalable technical capabilities and product requirements.
  • Experience working across product, engineering, architecture, governance and business organizations.
  • Strong strategic thinking, stakeholder management, and communication…
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