Data & AI Security Engineer

Waystar-posted 3 months ago
Mid Level
Louisville, KY
1,001-5,000 employees
Professional, Scientific, and Technical Services
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Waystar is seeking a highly skilled and strategic Data and Artificial Intelligence (AI) Security Engineer to join our Security Operations team. This role is pivotal in shaping and executing our data protection and AI security strategies, while ensuring the secure and ethical use of data and artificial intelligence across the organization. The ideal candidate will have deep expertise in data security frameworks, AI governance, and hands-on experience with leading data protection and insider threat monitoring tools.

  • Define and lead the organization's strategy for data protection and secure AI adoption.
  • Develop frameworks for data security lifecycle, AI governance, risk management, and compliance.
  • Collaborate with cross-functional teams to align data security and AI initiatives with business goals.
  • Evaluate, select, deploy, and manage data security platforms such as Microsoft Purview, Cyberhaven, Cyera, and Varonis.
  • Identify existing tools with AI and integrate securely into the existing infrastructure.
  • Ensure compliance with data protection regulations (e.g., PCI, CCPA, HIPAA).
  • Conduct risk assessments related to AI models and data usage.
  • Monitor and respond to data security incidents involving AI systems and corporate solutions.
  • Evaluate emerging AI technologies for security implications.
  • Provide security guidance for secure AI model development and deployment.
  • Educate stakeholders on responsible AI and data handling practices.
  • Bachelor's in Computer Science, Cybersecurity, Data Science, or related field.
  • 4+ years of experience in data security, with at least one year focused on AI-related initiatives.
  • Proven experience implementing and managing tools such as Microsoft Purview, Cyberhaven, Cyera, Varonis, etc.
  • Strong understanding of AI/ML lifecycle, data classification, and privacy-enhancing technologies.
  • Excellent communication and stakeholder engagement skills.
  • Certifications such as CISSP, CISM, or Certified AI Security Professional.
  • Experience with cloud platforms (Azure, AWS, GCP) and their native security tools.
  • Familiarity with the data security lifecycle, AI ethics, bias mitigation, and model interpretability.
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • Generous paid time off for non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays.
  • Flexible time off for exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups
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