HealthEquity is on a mission to save and improve lives by empowering healthcare consumers. They are seeking a Senior Security Engineer to play a critical role in scaling privacy, security, and governance across the enterprise, focusing on building systems that ensure compliance and enhance data protection.
Responsibilities:
- Analyze enterprise data protection requirements and evaluate the Securiti AI Data Command Center against those requirements
- Assess system architecture, data flows, and integrations; identify gaps and recommend design improvements
- Define functional and integration specifications in collaboration with engineering teams
- Evaluate data environments to identify sensitive data (PII, PHI, PCI) and assess classification approaches
- Design and recommend enterprise data classification frameworks and standards
- Analyze data inventory processes and recommend improvements for completeness and accuracy
- Analyze regulatory requirements (e.g., DSAR, PIA/DPIA) and translate them into system requirements and workflows
- Evaluate existing privacy processes and recommend automation strategies to improve compliance and efficiency
- Design consent and preference management frameworks aligned with regulatory obligations
- Assess data lifecycle controls and system capabilities supporting retention and minimization
- Recommend retention schedules and data handling rules based on regulatory and business requirements
- Analyze exception handling scenarios and propose system-level enhancements
- Define reporting requirements and evaluate system outputs to support compliance and audit readiness
- Assess control effectiveness and recommend enhancements to strengthen data protection posture
- Develop system-level documentation and compliance artifacts
- Analyze business and regulatory requirements in collaboration with Legal, Security, Data, and Engineering stakeholders
- Translate requirements into technical specifications and system design recommendations
Requirements:
- Bachelor's degree in Computer Science, Information Systems or similar
- 5+ years of experience in privacy engineering, data governance, privacy operations tooling, or data security engineering
- Hands-on experience implementing or operating Securiti AI or comparable platforms (BigID, Microsoft Purview, etc.)
- Strong understanding of regulated data concepts and workflows (PII, PHI, DSARs, RoPA, PIAs, retention)
- Experience integrating SaaS platforms into enterprise ecosystems
- Ability to partner effectively across Security, Legal, Privacy, Data, and Engineering teams