Data & AI Security Engineer

About This Position

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.

• Strategy & Architecture
• 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.
• Tool Implementation & Management
• Evaluate, select, deploy, and manage data security platforms such as:
• Microsoft Purview for data governance and compliance.
• Cyberhaven or equivalent for data behavior analytics and insider threat detection.
• Cyera or equivalent for cloud data security and visibility.
• Varonis or equivalent for data access governance and threat detection.
• Identify existing tools with AI and integrate securely into the existing infrastructure.
• Risk & Compliance
• 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.
• Innovation & Enablement
• 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.

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty;

kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit  or follow @Waystar () on Twitter.

• Competitive total rewards (base salary + bonus, if applicable)

• Customizable benefits package (3 medical plans with Health Saving Account company match)

• We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays

• Paid parental leave (including maternity + paternity leave)

• Education assistance opportunities and free Linked In Learning access

• Free mental health and family…