Senior Director, Head of Data

About IonQ:  IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.   Location: This position can work onsite or hybrid from one of our offices in the US or fully remote. Travel: Up to 5%, domestic.  Job ID: 1670 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 source data Partner with functional data owners, Legal / Compliance, Security, IT, and Architecture to develop and operationalize data policies, governance workflows, and control requirements Ensure data is trusted, explainable, and decision-ready across the organization Data Access, Security & Compliance Design and implement data access models , including: Role-Based Access Control (RBAC) Attribute-Based Access Control (ABAC) Establish access-request, approval, provisioning, and audit workflows, with functional data owners retaining approval authority for access to their domain data Ensure alignment with enterprise identity and access management (IAM) systems Partner closely with Security (CISO) Legal / Compliance, and functional data owners to translate requirements into practical data-access, tagging, handling, and control workflows for: ITAR, export controls, CUI, PII, financial data, and other regulatory requirements Enable secure, appropriate, and auditable data availability across stakeholders, consistent with agreed business, legal, and security rules Data Strategy & Infrastructure Alignment Develop and maintain the enterprise data-platform roadmap, aligned to existing and future environments, including: Snowflake environments across business units Potential data lake, lakehouse, warehouse, semantic-layer, or hybrid architectures as needed Assess when to connect, consolidate, or defer data-platform buildout based on function-led system consolidation timelines, reporting needs, data quality, and integration complexity Partner with IT and Architecture to ensure data flows, pipelines, and integrations are scalable and consistent Document  how data moves across systems, where it is sourced, which system is authoritative, what transformations occur, and where downstream reports or automated workflows depend on it Data Integration & M&A Lead the IT/data workstream for acquisitions and new entities, focused on data-source mapping, integration patterns, lineage, access, quality controls, and reporting readiness Develop scalable approaches to onboard, normalize, and harmonize new data environments in partnership with functional system owners and integration teams Create mechanisms to reconcile and document differences in data definitions and structures across entities, with functional owners approving domain-specific definitions Intellectual Property & Critical Data Assets Establish the methodology, tooling, and workflows to identify, classify, tag, and manage critical data and IP across the enterprise, in partnership with L