_private/qwestly-docs/Policies/Data Management Policy.md

Qwestly Data Management Policy

Purpose

  • Ensure information is classified, protected, retained, and securely disposed of based on its sensitivity and legal requirements.
  • Align with Qwestly's privacy promise: anonymous profiles, user control, and no identity sharing without consent.
  • Maintain compliance with GDPR, CCPA, SOC 2, and employment-related data protection laws.

Scope

  • Applies to all Qwestly data and information systems.
  • Includes candidate, customer, internal, AI/ML, and vendor data.
  • Covers the full data lifecycle: collection to disposal.

Policy Statement

  • Data and systems are classified based on legal, business, and security needs.
  • Processing activities must have a documented legal basis and honor privacy rights.
    Information systems are classified by the highest sensitivity of data they handle.

Regulatory Compliance Requirements

  • GDPR: Legal basis, rights management, DPIAs, consent tracking, cross-border safeguards.
  • CCPA: Notice, access, deletion, opt-out, non-discrimination.
  • Employment Data Laws: EEOC, FCRA, I-9, wage/hour laws.
  • SOC 2: Annual audits, penetration testing, encryption in transit and at rest.

Data Processing Principles

  • Purpose limitation: Data is used only for stated reasons (e.g. matching jobs).
  • Minimization: We only collect what's needed.
  • Accuracy: Keep data updated.
  • Storage limitation: Data auto-deleted after expiration.
  • Accountability: Full audit trails and documentation.

Data Classification

  • Confidential: Includes full candidate profiles, identity info, financials, AI models. Only accessible with CEO/CTO approval.
  • Restricted: Internal policies, reports, contracts, Slack messages. Access limited to job need.
  • Public: Job postings, marketing, website content.

Qwestly-Specific Data Handling

  • Anonymous profiles: Default candidate view for companies. Identity is shown only with explicit consent.
  • AI Matching: No personal data is stored in AI models. Matching is opt-out.
  • User Review: Candidates are responsible for reviewing/editing their anonymous profile before it becomes visible.

Third-Party Sharing

  • Customers: See anonymized profiles. Identity revealed only with candidate's permission.
  • Vendors: Must sign Data Processing Agreements (DPAs). Security is verified.
  • International transfers: Use SCCs and lawful bases.

Data Subject Rights

  • Access: Download your data (JSON/CSV) within 30 days.
  • Correction: Self-edit or request updates.
  • Deletion: One-click deletion processed in 30 days unless law requires retention.
  • Portability: Export your profile.
  • Opt-out: Withdraw consent or disable matching features.

Data Retention & Disposal

Data Type Retention Period Justification
Active profiles While active Provide services
Inactive profiles 3 years For reactivation
Interview data 3 years Improve experience
Anonymous usage Up to 3 years Platform improvement
Financial data 7 years Legal requirement
Background checks 2 years or by law Legal requirement
AI training (anonymized) 7 years Improve models
Consent records 10 years Legal compliance
  • Auto-delete mechanisms applied after retention.
  • Secure deletion: Digital wiping and shredding printouts.

AI Governance

  • Training data is anonymized and documented.
  • AI models are regularly tested for fairness and accuracy.
  • Users are informed when AI is used.
  • Human review is available upon request.

Breach Response

  • Within 4 hours: Contain and notify CTO/CEO.
  • Within 24 hours: Investigate and log issue.
  • Within 72 hours: Notify regulators (if needed).
  • Within 30 days: Inform individuals.
  • Review and document incident.

Remote Work & Contractors

  • Encrypted access, VPN required for sensitive info.
  • Least-privilege access model enforced.

Annual Review & Enforcement

  • Policy reviewed yearly.
  • Violations may result in access loss, disciplinary action, or legal steps.
  • Anonymous reporting via conduct@qwestly.com.

Document History

Version Date Description Written by Approved by
1.0.0 6/13/25 Initial version Adam Boender Dominick Pham
1.1.0 6/25/25 Privacy-aligned updates Adam Boender Dominick Pham