Data Policy & Governance Lead

atPure StorageRemoteUS flagUnited StatesFull-timeRiskSenior$107k – $230k/year

Posted 8 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and implement automated policies, sensitivity classification, and access controls programmatically within data pipelines.

• Utilize Everpure Data Intelligence and platform technologies to identify, classify, and contextualize organizational data.

• Collaborate with Data Architecture to define ownership boundaries, lifecycle quality gates, and contextual entitlements in enforceable data contracts across ServiceNow, CRM, and MDM.

• Establish authoritative governance to maintain a single record, preventing fragmentation and localized duplication throughout business units.

• Work alongside Field Deployed Engineering teams to transform internal frameworks into customer-facing offerings.

• Perform maturity assessments, lead executive workshops, and provide best-practice advisory for data risk in the AI era.

• Protect customer, product, and operational data while facilitating the acceleration of AI adoption.

• Engage with Data Architecture, Security, Privacy, Legal, and Field Deployed Engineering teams.


⛳️ Requirements

• Proven experience in implementing hands-on data governance, data intelligence, and compliance initiatives within contemporary, cloud-scale data environments.

• Proficient in programmatic policy frameworks, automated entitlement enforcement, or policy-as-code tools such as Open Policy Agent, attribute-based access control, Unity Catalog, or modern enterprise metadata and catalog platforms.

• Comprehensive understanding of global data privacy and regulatory frameworks such as GDPR and CCPA.

• Practical knowledge of emerging AI risk and governance frameworks, including the NIST AI RMF.

• Strong advisory and communication abilities, including leading executive and technical workshops, quantifying governance value, and guiding legal, security, and data teams through intricate risk decisions.

• Hands-on experience utilizing AI-assisted tools or development workflows to enhance 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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