Senior Director, Head of Data

IonQ

8h•$192,979 - $276,722•Hybrid

About The Position

IonQ is seeking a Chief Data Officer to establish the IT-enabled data foundation, architecture, integration patterns, cataloging, and governance workflows necessary to make data cohesive, trusted, secure, and usable across existing functional data domains. This role will operate 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 will remain accountable for the business meaning, quality, rules, and use of their data; this role will provide the enterprise data architecture, methodology, tooling, and integration support to make that data usable across IonQ.

Requirements

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.
Operate horizontally across the organization, partnering with Finance, GTM, HR, IT, Architecture, Security, and Product teams.
Ensure data is consistent, secure, and usable—without displacing functional ownership.
Provide the enterprise data architecture, methodology, tooling, and integration support to make data usable across IonQ.
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).
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.
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.
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.
Design and implement data access models, including Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).
Establish access-request, approval, provisioning, and audit workflows.
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.
Develop and maintain the enterprise data-platform roadmap, aligned to existing and future environments, including Snowflake environments across business units and 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.
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.
Establish the methodology, tooling, and workflows to identify, classify, tag, and manage critical data and IP across the enterprise.
Partner with Security, Legal, and technical stakeholders to ensure appropriate controls and protections are in place.
Enable project- or program-level data handling rules where appropriate.
Support development of a long-term strategy for safeguarding high-value data assets.
Acts as a horizontal leader and integrator, not a vertical owner.
Serves as a consultative data architecture and integrity reviewer on function-led initiatives, not the default approval gate or replacement for the functional system owner.
Drives alignment through influence, standards, and governance—not control.
Holds decision rights over IT-owned data architecture, data-platform roadmap, integration standards, cataloging, metadata, lineage, and data-governance workflows.
Works closely with Finance / Analytics, GTM, HR, IT / Architecture, Security, and Product / Engineering.

Nice To Haves

Analytics, KPIs, and business reporting ownership (Finance / Business Analytics)
AI strategy and business use cases (AI leadership/ business owners)
Enterprise applications and core infrastructure ownership (CIO / IT application and infrastructure owners)
Non-data enterprise architecture and business-system design (Architecture/ system owners)
Cybersecurity strategy, monitoring, alerting, incident response, and security-control validation (CISO)
Domain-level data ownership, including business meaning, source-system data quality, business rules, and functional usage decisions

Responsibilities

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.
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.
Design and implement data access models, including Role-Based Access Control (RBAC) and 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.
Develop and maintain the enterprise data-platform roadmap, aligned to existing and future environments, including Snowflake environments across business units and 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.
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.
Establish the methodology, tooling, and workflows to identify, classify, tag, and manage critical data and IP across the enterprise, in partnership with Legal, Security, technical stakeholders, and functional data owners.
Partner with Security, Legal, and technical stakeholders to ensure appropriate controls and protections are in place defined, implemented, and monitored through the right combination of IT/Data, Security, Legal / Compliance, and functional-owner responsibilities.
Ensure data remains usable while protected.
Enable project- or program-level data handling rules where appropriate, so sensitive technical, product, or program data can be protected without requiring every end user to make legal or export-control determinations.
Support development of a long-term strategy for safeguarding high-value data assets.