Global Head of Instrument Reference Data – Executive Director

Own one of the firm’s most critical data engines and turn reference data into a measurable advantage for JPMorganChase. You will lead the global operating model and transformation agenda for securities and index data, driving quality, scalability, and strong controls while accelerating automation and AI-enabled capabilities.

As a Global Head of Instrument Reference Data – Executive Director in Securities Services Operations, you will lead the firmwide strategy, operating model, and execution agenda for securities and index reference data. You will run a global team responsible for end-to-end reference data operations and for the product and change agenda of the Global Instrument Master (GIM) platform. Your work will improve data quality, reduce operational risk, and enable front office, risk, operations, and technology partners to deliver better business outcomes.

Job responsibilities

• Define and deliver the global vision, roadmap, and target operating model for instrument reference data aligned to measurable business outcomes.
• Lead a global organization across regions and time zones, setting clear accountability, performance standards, and an inclusive culture.
• Establish firmwide governance for reference data standards, platform prioritization, and automation/AI use cases, including value and control assessments.
• Own end-to-end operational delivery for securities and index data across sourcing, lifecycle events, exception management, and downstream distribution.
• Manage the dedicated support model for the pricing, maintenance, and rebalancing of JPMorganChase published indices.
• Drive improvements in accuracy, completeness, and timeliness through standardization, workflow optimization, and automation.
• Implement robust data quality controls, procedures, and evidence to support audits, regulatory expectations, and control testing.
• Direct issue management, root cause analysis, and remediation plans to reduce repeat defects and operational risk.
• Act as senior product owner for the Global Instrument Master (GIM) platform, owning roadmap, funding, value case, prioritization, and adoption.
• Partner with Technology to set reliability and availability targets, service level agreements, capacity plans, and technical debt reduction priorities.
• Lead end-to-end change delivery (requirements through release and post-implementation monitoring) including user acceptance testing and stakeholder readiness.

Required qualifications, capabilities, and skills

• Extensive leadership experience in financial services within reference data, market operations, and/or platform product ownership.
• Demonstrated success leading global teams and delivering large-scale, cross-functional transformation programs.
• Strong understanding of instrument lifecycle concepts and reference data domains across major asset classes (e.g., equities, fixed income, derivatives, funds).
• Proven ability to run high-control operational environments with disciplined metrics, controls, and audit readiness.
• Track record translating business needs into product roadmaps, delivery plans, and measurable outcomes.
• Experience sponsoring and implementing AI and advanced analytics capabilities in production, including governance and monitoring.
• Ability to balance run-the-business operational excellence with change delivery and strategic transformation.
• Executive-level communication skills, including the ability to influence senior stakeholders across multiple lines of business.
• Strong risk mindset with experience designing preventative and detective controls and sustaining them in operations.
• Experience managing complex prioritization across competing stakeholders, dependencies, and timelines.
• Strong people leadership skills including talent development, succession planning, and organizational design.

Preferred qualifications, capabilities, and skills

• Experience modernizing firmwide reference data platforms (golden source, distribution, application programming interfaces, event-driven architectures).
• Familiarity with enterprise data governance (domains, stewardship, metadata, lineage, and data quality tooling).
• Understanding of AI risk and control patterns (human-in-the-loop, model monitoring, and change control).
• Vendor and data sourcing strategy experience for market/reference data, including contract and value management.
• Experience leading teams through the adoption of AI-enabled analytics, workflow automation, or intelligent process tools to improve operational efficiency and accuracy, reduce manual effort, and support consistent, well-controlled execution through coaching, change adoption, and continuous improvement