Senior Director, Product Owner - Entity Data & Knowledge Graph (Chicago)

Fitch Group•Chicago, IL
•$190,000 - $230,000•Hybrid

About The Position

Fitch Solutions is seeking a Senior Director, Product Owner for Entity Data & Knowledge Graph in its Chicago office. The role sits within Platform Products, which builds reusable shared capabilities across the organization. It focuses on Fitch’s entity and reference data foundation—including identifiers, symbology, hierarchies and relationships—and the knowledge graph that connects data across products for use by clients, applications and AI. This is a senior individual contributor and hands-on product ownership role. The product owner will own a portfolio of platform data products centered on entity resolution, symbology and knowledge graph capabilities. The role defines data models and ontologies, writes requirements, investigates data quality, validates solutions with engineering, and brings capabilities into production. It leads through influence rather than line management, shaping vision and roadmaps, aligning senior stakeholders, and guiding cross-functional engineering, architecture and analyst teams toward scalable, reusable products with measurable business value.

Requirements

  • At least 10 years of experience in product ownership, product management or data product roles, with substantial focus on entity and reference data.
  • Deep expertise in entity and reference data, including legal entity and company data, instrument reference data and symbology, global identifiers such as LEI, PermID, FIGI, ISIN and CUSIP, and corporate hierarchies and ownership structures.
  • Proven record of building entity resolution, matching and deduplication capabilities at scale across millions of entities and multiple sources.
  • Hands-on experience with knowledge graphs or graph databases, including ontology design and relationship modelling.
  • Substantial experience at a financial information provider, data and analytics firm, exchange or financial institution.
  • Experience delivering shared data capabilities used across multiple business units or client segments.
  • Experience leading cross-functional squads through influence in a matrixed organization and aligning executive and technical stakeholders around complex priorities and investment decisions.
  • Strong knowledge of Agile and product-led delivery practices and tools such as Jira.
  • Ability to use data quality metrics, client insight and business outcomes to guide prioritization and measure success.
  • Exceptional written and verbal communication skills, including the ability to explain complex data concepts to technical, business and executive audiences.
  • Bachelor’s degree or equivalent professional experience.

Nice To Haves

  • Experience building or running an entity graph, symbology service or master data platform at a major data provider, exchange or bank.
  • Experience with industry identifier schemes and open data standards, or management of a public-facing identifier or entity data service.
  • Background in credit, credit risk or private markets data, with understanding of how entity data supports credit analysis, counterparty risk and client workflows.
  • Sound commercial judgment combined with a customer-centric, enterprise-wide perspective.
  • Knowledge of Fitch systems, products, data or client workflows.
  • Initiative, intellectual curiosity and commitment to continuous learning.

Responsibilities

  • Own the vision, strategy and roadmap for shared entity and reference data capabilities, including entity resolution, symbology and identifier mapping, corporate hierarchies and ownership, and the knowledge graph.
  • Define entity and relationship models, ontologies and metadata standards; profile and investigate data; shape matching and linkage logic; and write detailed requirements and acceptance criteria.
  • Build expertise in Fitch data, products, architecture and integration points, and use it to guide investment decisions and platform evolution.
  • Deliver entity resolution and matching services through APIs, bulk feeds and cloud data-sharing channels.
  • Make Fitch data AI-ready by exposing entities and relationships to LLMs and AI agents through graph services, APIs and emerging protocols such as MCP, with metadata and provenance.
  • Define and track data quality measures, including accuracy, coverage, fill rates and timeliness, as well as product measures such as adoption, reuse, client value and return on investment.
  • Own the product backlog in Jira, balancing strategic initiatives, business demand, technical enablement, risk and scalability, and translating goals into epics, investment cases and delivery plans.
  • Conduct build-versus-buy and partner evaluations across data vendors, graph technologies and cloud platforms, and turn recommendations into delivery.
  • Lead entity and reference data governance, including identifier lifecycle, data model change control, standards and stewardship across domains.
  • Drive adoption across business units, navigate competing priorities, resolve cross-portfolio dependencies and blockers, and escalate when executive decisions are needed.
  • Sponsor validation, user acceptance testing and release readiness to ensure capabilities meet business, control and quality expectations.
  • Create and champion product documentation, including data dictionaries, model specifications, process flows and release communications.
  • Represent Platform Products in senior leadership discussions, communicating strategy, progress, risks and outcomes.
  • Strengthen the product operating model by introducing practices that improve discovery, prioritization, delivery and measurement.

Benefits

  • Hybrid work environment, with three days a week in the office required based on line of business and location.
  • Dedicated training, leadership development and mentorship programs.
  • Retirement planning programs.
  • Tuition reimbursement programs.
  • Comprehensive healthcare offerings supporting physical, mental, financial, social and occupational wellbeing.
  • Family-friendly policies, including a global parental leave plan.
  • Inclusive collaborative workplace and Employee Resource Groups.
  • Paid volunteer days, matched funding for donations and opportunities to volunteer in the community.
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