Data Policy & Governance Lead
Role overview
As Data Policy & Governance Lead within CX Platforms and Delivery Innovation, you will design and implement governance-as-code frameworks across the company’s enterprise data landscape. This role bridges internal governance practices with customer-facing advisory, ensuring data integrity and compliance as artificial intelligence adoption accelerates across the organization.
Key responsibilities
- Design and deploy automated policy enforcement, sensitivity classification, and access controls directly into data pipelines, replacing manual governance processes with continuous, code-based verification systems.
- Apply the company’s own data intelligence platform to discover, classify, and contextualize internal data, establishing the organization as the first customer proving governance patterns and best practices.
- Work with Data Architecture teams to embed governance directly into data contracts across core platforms including ServiceNow, CRM, and MDM, codifying ownership boundaries and lifecycle quality standards.
- Establish authoritative governance frameworks that prevent data fragmentation and duplication as autonomous agents, data products, and analytics models scale across business units.
- Partner with Field Deployed Engineering to translate validated internal governance frameworks into enterprise customer offerings, delivering maturity assessments and executive workshops.
- Lead cross-functional collaboration with Data Architecture, Security, Privacy, Legal, and engineering teams to safeguard customer, product, and operational data integrity.
Requirements
- Demonstrated hands-on experience implementing data governance, data intelligence, and compliance programs within modern, cloud-scale data ecosystems.
- Proficiency with programmatic policy frameworks and automated entitlement enforcement tools such as Open Policy Agent, attribute-based access control, Unity Catalog, or modern enterprise metadata platforms.
- Deep knowledge of global data privacy regulations including GDPR and CCPA, combined with understanding of emerging AI risk and governance frameworks such as the NIST AI Risk Management Framework.
- Proven ability to lead executive and technical workshops, communicate governance value to stakeholders, and guide cross-functional teams through complex risk and compliance decisions.
- Practical experience using AI-assisted tools or development workflows to streamline data classification, policy testing, and automated governance reporting.
What makes this role worth considering
This position offers the opportunity to shape data governance at scale within a rapidly growing data platform company that is actively transforming its own practices. You will work with leadership teams across security, legal, and engineering while directly influencing how enterprise customers approach data trust and AI governance. The role combines strategic impact with hands-on technical work in a remote environment.
How to apply
Use the Apply button to view the official job posting and submit your application on Purestorage [PureStorageGreenhouse]'s careers site.
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