Data Policy & Governance Lead

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

Data Primacy only holds if enterprise data can be verified, classified, and trusted across every downstream application and AI model. As Data Policy & Governance Lead within CX Platforms and Delivery Innovation, you will build and scale programmatic governance-as-code across Everpure’s enterprise data estate—running Everpure on Everpure—and translate those proven practices into scalable customer advisory. Partnering closely with Data Architecture, Security, Privacy, Legal, and Field Deployed Engineering, you will safeguard the integrity of customer, product, and operational data while accelerating AI adoption. Your work establishes the foundation of trust, verifiable compliance, and automated data policy that powers mission-critical CX workflows and customer AI initiatives globally.

WHAT YOU’LL DO

Implement Governance-as-Code: Design and deploy automated policy, sensitivity classification, and access controls programmatically into data pipelines, replacing manual review boards with continuous, code-based verification.

Operationalize Everpure on Everpure: Apply Everpure Data Intelligence and our platform technologies to discover, classify, and contextualize our own data, making Everpure customer zero for every governance pattern we sell.

Embed Governance into Data Contracts: Partner with Data Architecture to codify ownership boundaries, lifecycle quality gates, and contextual entitlements directly within enforceable data contracts across core platforms including ServiceNow, CRM, and MDM.

Preserve Verifiable Data Truth: Establish authoritative, single-record governance that prevents fragmentation and localized duplication as autonomous agents, data products, and analytics models scale across business units.

Deliver High-Impact Customer Advisory: Partner with Field Deployed Engineering teams to translate validated internal frameworks into enterprise customer offerings, conducting maturity assessments, executive workshops, and best-practice advisory for AI-era data risk.

WHAT YOU BRING

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, CCPA) paired with practical understanding of emerging AI risk and governance frameworks (such as the NIST AI RMF).

Proven advisory and communication skills, with the ability to lead executive and technical workshops, quantify governance value, and guide cross-functional 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.