KBRA - Head of Data Management

• Define and execute KBRA's enterprise data management strategy and operating model. • Lead and develop the Data Operations organization, including data stewardship, master/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. • Continue to 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 the development of taxonomies, ontologies, common definitions, and canonical data concepts across KBRA. • Partner with Engineering and Product on data architecture, data catalog/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 matters related to 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 KPIs 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/escalations. • You are an entrepreneurial and pragmatic leader who views data as both an operational capability and a strategic business asset. • You can establish a long-term vision while also working through complex implementation details. You are comfortable operating across business, analytical, product, engineering, and regulatory stakeholders and can translate between those audiences. • You are an effective communicator who can clearly articulate a data strategy, build organizational alignment around it, and lead teams through significant change. • You Will Be Successful in This Role If You Have: • 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. • 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. • Excellent written and verbal communication skills, with the ability to tailor communication to senior executives, analytical professionals, regulators, and technical teams. • Experience preparing enterprise data for artificial intelligence, machine learning, semantic search, or other advanced analytical use cases is a plus.