Senior Director, Head of Data

The Role

IonQ is scaling rapidly across geographies, functions, and acquisitions. As a result, data is increasingly fragmented across systems, teams, and entities. We are hiring a Chief Data Officer to establish the IT-enabled data foundation, architecture, integration patterns, cataloging, and governance workflows needed to make data cohesive, trusted, secure, and usable across existing functional data domains. This role operates horizontally across the organization, partnering with Finance, GTM, HR, IT, Architecture, Security, and Product teams to ensure data is consistent, secure, and usable—without displacing functional ownership. Functions remain accountable for the business meaning, quality, rules, and use of their data; this role provides the enterprise data architecture, methodology, tooling, and integration support to make that data usable across IonQ.

Responsibilities

Enterprise Data Alignment, Source-of-Truth Mapping & Product Integration

• Design and drive a common enterprise data framework that connects product, business-system, and functional data domains while preserving functional ownership of domain data
• Establish shared data models, taxonomies, and definition-management processes across core domains (Finance, GTM, People, Operations, R&D), with functional owners accountable for domain-specific business definitions
• Maintain an enterprise registry of authoritative data sources, key data owners, major data flows, dependencies, and downstream reporting / analytics uses
• Partner with product and engineering leaders to ensure data structures support productization and scalability

Data Governance Enablement, Policy Workflow & Quality

• Define and implement data governance operating models that clarify ownership, stewardship, decision rights, escalation paths, and accountability across functions, IT, Security, and Legal / Compliance
• Establish standards for data quality controls, lineage, auditability, and cross-system data integrity, while functional owners remain accountable for the accuracy and business quality of their data