Securiti AI Platform SME, PrivacyOps & Data Discovery
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-03-07
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IT/Tech
Data Security, Cybersecurity, Information Security, Data Analyst
Our Mission
Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS.
Come be part of remarkable.
How you can make a difference
At Health Equity, our mission is to save and improve lives by empowering healthcare consumers. We help millions of people better connect health and wealth through intuitive technology and remarkable service. We are hiring a Securiti AI Data Command Center Subject Matter Expert to play a critical role in scaling privacy, security, and governance across our enterprise. This role is for someone who wants real ownership, real impact, and the opportunity to turn privacy requirements into durable, automated capabilities in a highly regulated environment.
If you enjoy building systems that actually run (not just designing frameworks), partnering across Security, Legal, Data, and Engineering, and making privacy-by-design a lived reality, this role will be highly rewarding.
- Serve as the internal SME for Securiti AI Data Command Center, owning configuration, ongoing operation, and optimization of the platform
- Integrate Securiti with enterprise data platforms, identity systems, and governance tooling
- Ensure the platform is reliable, trusted, and scalable across structured and unstructured data environments
- Identify, classify, and tag regulated data such as PII, PHI, NPI, and PCI across the enterprise
- Maintain accurate, up-to-date data inventories and processing activity records
- Partner with Security and Data Governance teams to turn discovery outputs into actionable controls
- Support and streamline data subject access requests (DSARs), including coordination of identity validation, data retrieval, timelines, and evidence
- Enable privacy impact assessments (PIAs/DPIAs) and risk reviews for new data uses
- Help operationalize consent and preference management workflows where applicable
- Operationalize data retention schedules based on regulatory and business requirements
- Partner with Engineering and Data teams to implement automated deletion and minimization controls
- Manage exceptions such as legal holds and regulatory investigations
- Monitor privacy and compliance posture through dashboards and reporting
- Produce audit-ready evidence for internal and external reviews
- Continuously improve controls based on audit findings, incidents, and emerging risks
- Work closely with Product, Technology, IT, Legal, Privacy, and Security teams to deliver shared outcomes
- Act as a trusted partner translating regulatory and privacy requirements into technical solutions
- Regulated data is discoverable, classified, and traceable across priority systems
- DSARs and privacy workflows are automated, measurable, and audit-ready
- Retention and minimization are enforced through systems, not manual effort
- Privacy and security expectations are embedded into everyday data and engineering workflows
- 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
- Experience in healthcare, financial services, or similarly regulated industries
- Familiarity with audit evidence, control testing, and regulatory inquiries
- Exposure to privacy‑by‑design or security‑by‑design programs at scale
#LI-Remote
This is a remote position.
Salary Range and BenefitsThe actual compensation offer is determined based on job‑related knowledge, education, skills, experience, and work location. This position will be eligible for performance‑based incentives as part of the total compensation package, in addition…
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