Director, Head of Data

Job Description

Job Title: Senior Director, Head of Data. Location: Remote, United States (Onsite, Hybrid, or Remote available within the U.S.)

Responsibilities:

Enterprise Data Strategy

• Design and implement an enterprise-wide data framework connecting product, business, and functional data domains while maintaining functional ownership.
• Establish shared data models, taxonomies, and data definition standards across Finance, GTM, HR, Operations, and R&D.
• Maintain an enterprise registry of authoritative data sources, ownership, dependencies, and reporting relationships.
• Partner with product and engineering teams to build scalable data structures that support product development and growth.

Data Governance

• Develop and implement enterprise data governance models, including ownership, stewardship, decision rights, and accountability.
• Define standards for data quality, lineage, auditability, and cross-system integrity.
• Work with Legal, Security, IT, Architecture, and business teams to establish governance policies and workflows.
• Ensure enterprise data remains trusted, secure, and ready for decision-making.

Data Security and Compliance

• Design and implement Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) models.
• Establish data access request, approval, provisioning, and audit processes.
• Ensure integration with enterprise Identity and Access Management (IAM) systems.
• Collaborate with Security, Legal, and Compliance teams to implement controls for ITAR, CUI, export controls, personally identifiable information (PII), financial data, and other regulated information.
• Enable secure and compliant data access across the organization.

Data Platform and Infrastructure

• Develop and maintain the enterprise data platform roadmap.
• Support Snowflake environments and evaluate future data lake, lakehouse, warehouse, semantic layer, and hybrid architectures.
• Determine appropriate strategies for connecting, consolidating, or expanding enterprise data platforms.
• Partner with IT and Architecture teams to build scalable data pipelines and integrations.
• Document enterprise data flows, transformations, source systems, and downstream reporting dependencies.

Data Integration and Acquisitions

• Lead data integration efforts during acquisitions and onboarding of new business entities.
• Develop scalable processes for integrating and harmonizing new data environments.
• Reconcile differences in data structures and definitions across acquired organizations.

Intellectual Property and Critical Data Management

• Establish enterprise methodologies and tools for identifying, classifying, and managing critical intellectual property and sensitive data.
• Partner with Legal, Security, and technical teams to implement appropriate protection controls.
• Develop long-term strategies for safeguarding high-value enterprise data.
• Enable project-specific handling rules for sensitive technical and product information.

Leadership and Collaboration

• Serve as a cross-functional leader responsible for enterprise data architecture and governance.
• Influence organizational alignment through standards, best practices, and governance rather than direct operational ownership.
• Collaborate closely with Finance, GTM, HR, IT, Architecture, Security, Product, and Engineering teams.

Qualifications:

• Extensive experience designing and implementing enterprise data architecture and governance strategies.
• Strong knowledge of enterprise data models, metadata management, data lineage, cataloging, and integration.
• Experience developing enterprise data platforms and scalable data infrastructure.
• Knowledge of RBAC, ABAC, IAM, enterprise security, and compliance frameworks.
• Experience working with cloud-based data platforms, including Snowflake;
• Strong leadership, communication, and stakeholder management skills.
• Experience collaborating across Finance, HR, Product, Engineering, Security, IT, and business teams.
• Ability to influence organizational strategy through governance and enterprise standards.

Preferred:

• Experience leading enterprise data integration during mergers and acquisitions.
• Experience with data lakes, lakehouses, semantic layers, and hybrid data architectures;
• Familiarity with regulatory frameworks including ITAR, export controls, CUI, and PII compliance.
• Experience supporting AI and machine learning initiatives through governed enterprise data.
• Experience building scalable enterprise data platforms for high-growth technology organizations.

Benefits and Compensation:

• Base salary: $192,979 to $276,722 USD annually.
• Total compensation includes base salary, bonus, equity, and additional benefits.
• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan with company matching;
• Unlimited paid time off and paid holidays.
• Parental and adoption leave.
• Legal insurance.
• Home technology stipend.
• Flexible work arrangements, including remote, hybrid, and onsite options within the United States.

Other Information:

• Remote position available throughout the United States, with onsite and hybrid options at IonQ offices.
• Domestic travel up to 5% may be required.
• This position partners closely with Finance, GTM, HR, IT, Architecture, Security, Product, and Engineering teams.
• The role focuses on enterprise data architecture, governance, integration, metadata, lineage, and data platform strategy, while business functions retain ownership of their domain-specific data;
• Employment may require compliance with U.S. export control regulations and government contract requirements.
• Selected candidates may undergo background and compliance screening before employment.
• IonQ is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace.