Data Policy & Governance Lead

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $107k - $230k / year

⏰ Full Time

🟠 Senior

🎲 Risk

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Pure Storage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Pure Storage is a leader in the field of data storage platforms, renowned for its innovative solutions in the industry. It has been consistently recognized as a leader in the Gartner Magic Quadrant for both Primary Storage Platforms and File and Object Storage Platforms, achieving the highest marks in Execution and Vision. Pure Storage provides scalable and sustainable storage solutions that cater to both enterprise and cloud needs, emphasizing zero downtime and seamless performance. It offers a range of services including AI infrastructure, cloud deployments, and data protection, making it a critical player in modern data management.

📋 Description

• Design and deploy automated policy, sensitivity classification, and access controls programmatically into data pipelines • Apply Everpure Data Intelligence and platform technologies to discover, classify, and contextualize company data • Partner with Data Architecture to codify ownership boundaries, lifecycle quality gates, and contextual entitlements in enforceable data contracts across ServiceNow, CRM, and MDM • Establish authoritative, single-record governance to prevent fragmentation and localized duplication across business units • Partner with Field Deployed Engineering teams to translate internal frameworks into customer offerings • Conduct maturity assessments, executive workshops, and best-practice advisory for AI-era data risk • Safeguard customer, product, and operational data while accelerating AI adoption • Collaborate with Data Architecture, Security, Privacy, Legal, and Field Deployed Engineering teams

🎯 Requirements

• Demonstrated track record implementing hands-on data governance, data intelligence, and compliance programs within modern, cloud-scale data ecosystems • Hands-on proficiency with programmatic policy frameworks, automated entitlement enforcement, or policy-as-code tooling such as Open Policy Agent, attribute-based access control, Unity Catalog, or modern enterprise metadata and catalog platforms • In-depth knowledge of global data privacy and regulatory structures such as GDPR and CCPA • Practical understanding of emerging AI risk and governance frameworks such as the NIST AI RMF • Proven advisory and communication skills, including leading executive and technical workshops, quantifying governance value, and guiding legal, security, and data teams through complex risk decisions • Practical experience leveraging AI-assisted tools or development workflows to streamline data classification, policy testing, and automated governance reporting

🏖️ Benefits

• Incentive pay and/or equity may be available • Flexible time off • Wellness resources • Company-sponsored team events • Growth and development support • Employee Resource Groups • Accommodations for candidates with disabilities during the hiring process

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