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Kroll Bond Rating Agency

Structured finance credit ratings and research

Head of Data Management

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Bachelor's or master's degree, or equivalent relevant experience.
  • 15+ years of experience in data management, data strategy, data operations, data governance, or related disciplines.
  • Significant leadership experience building and managing data teams and capabilities.
  • Experience within financial services, capital markets, ratings, financial data, or another data-intensive industry.
  • Experience operating within a regulated environment and working with risk, compliance, audit, or regulatory stakeholders.
  • Demonstrated experience establishing enterprise data governance, stewardship, and data quality programs.
  • Experience with master data management, reference data, metadata management, taxonomy/ontology management, or data quality platforms.
  • Experience developing data operating models, standards, policies, and ownership frameworks.
  • Strong understanding of modern data platforms, integration patterns, data lineage, and data lifecycle management.
  • Experience evaluating and managing third-party data providers and data licensing relationships.
  • Experience identifying or developing opportunities to commercialize data products or proprietary datasets.
  • Demonstrated experience building or materially transforming an enterprise data-management capability.
  • Proven ability to build strong relationships with executives, analytical teams, product teams, engineers, customers, and external partners.
  • Ability to translate enterprise objectives into a clear, executable data strategy.
  • Experience communicating effectively in writing and verbally with senior executives, analytical professionals, regulators, and technical teams.

Responsibilities

  • Define and execute KBRA's enterprise data management strategy and operating model.
  • Lead and develop the Data Operations organization, including data stewardship, master and reference data management, data quality, taxonomy, and related disciplines.
  • Manage day-to-day operational delivery, service levels, controls, escalation, and capacity planning.
  • Establish standards for the organization, classification, definition, ownership, and lifecycle management of KBRA data.
  • Mature KBRA’s data governance and data quality programs by establishing measurable standards for accuracy, completeness, consistency, timeliness, and exception management.
  • Establish and maintain an enterprise data-domain model, including data owners, stewards, authoritative sources, definitions, quality, and lifecycle; lead development of taxonomies, ontologies, common definitions, and canonical data concepts across KBRA.
  • Partner with Engineering and Product on data architecture, data catalog and glossary development, metadata management, lineage, integration standards, and platforms supporting enterprise data management.
  • Ensure ratings-related data management processes, controls, lineage, and documentation meet applicable regulatory and audit expectations.
  • Serve as a senior point of contact for regulators, auditors, and other stakeholders on ratings data management and operations.
  • Partner with business leaders to identify, evaluate, and develop opportunities to commercialize KBRA's proprietary data assets.
  • Identify, evaluate, and onboard third-party data providers that improve the quality, coverage, efficiency, or automation of KBRA's data processes.
  • Evaluate and implement technology that automates and augments data ingestion, curation, matching, enrichment, stewardship, and quality management.
  • Establish key performance indicators and operating metrics for data quality, operational performance, stewardship, and data-management effectiveness.
  • Ensure KBRA's data assets are discoverable, well-defined, governed, traceable, and of sufficient quality to support artificial intelligence, machine learning, semantic search, advanced analytics, and other emerging data-driven capabilities.
  • Recruit, develop, and retain a high-performing data management organization capable of scaling with KBRA's growth.
  • Participate as a member of the Technology Leadership Team and contribute to KBRA's broader technology, product, and data strategy.
  • Establish and oversee change governance for critical data definitions, taxonomies, reference data, identifiers, and business rules, including impact assessment, review, approval, documentation, and communication of changes.
  • Lead data-governance forums and cross-functional data decisions and escalations.

Desired Qualifications

  • Experience preparing enterprise data for artificial intelligence, machine learning, semantic search, or other advanced analytical use cases.

About the Company

Kroll Bond Rating Agency

Structured finance credit ratings and research

KBRA provides independent credit ratings and research for the structured finance market. It operates as a Nationally Recognized Statistical Ratings Organization (NRSRO) and covers asset-backed securities (ABS), commercial mortgage-backed securities (CMBS), and residential mortgage-backed securities (RMBS). Its products include credit ratings and research reports that assess the default risk of various financial instruments. Revenue comes from KBRA Premium subscription services that grant unlimited access to ratings, research, and analytical tools, along with specialized research offerings. How it works: KBRA evaluates the credit risk of structured finance assets and assigns ratings that indicate the likelihood of default. Clients—institutional investors, issuers, and intermediaries—use these ratings and reports to make informed investment and risk decisions. The Premium service provides ongoing access to ratings and analytical tools."

Company size
501-1,000
Company stage
Series C
Total funding
$15M
Headquarters
New York City, New York
Founded
2010

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