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**Company Description**J.S. Held, a global consulting firm providing specialized technical, scientific, financial, and advisory services, is seeking a **Senior Data Security Engineer** to lead the design, implementation, and governance of enterprise data security programs across platforms such as Microsoft 365, Box, Azure, and emerging AI platforms. This role is critical to protecting sensitive client and corporate information, ensuring regulatory compliance, and advancing the firm's data protection capabilities in a rapidly evolving threat landscape.Key ResponsibilitiesData Loss Prevention (DLP) & Information Protection- **Design, implement, and manage** enterprise DLP policies across Microsoft Purview, Box Shield, Azure Information Protection, and third-party DLP solutions- **Configure and optimize** sensitivity labels, classification taxonomies, and automated data discovery workflows to identify and protect sensitive information- **Conduct regular DLP effectiveness assessments** and refine policies based on emerging threats and business requirementsMicrosoft 365 Security & Governance- **Secure** data within the Microsoft 365 environment including Exchange, Teams, Office 365, Copilot, Power Platform, etc.- **Configure and maintain** audit logging, insider risk management, data loss prevention and communication compliance features- **Collaborate with IT teams** to enforce security baselines, device compliance policies, and secure collaboration practices across Teams, SharePoint, and OneDriveAzure Data Security & Cloud Protection- **Design and implement** Azure data security controls using tools such as Azure Defender and other Cloud Security Posture Management (CSPM) tools- **Deploy and manage** Microsoft Defender for Cloud (formerly Azure Security Center) to monitor security posture and remediate vulnerabilities- **Implement data governance frameworks** using Azure Purview for data cataloging, lineage tracking, and compliance scanning- **Conduct cloud security assessments** and ensure adherence to CIS/SOC2 Azure Benchmarks and Microsoft Cloud Security BenchmarkAI Security & Emerging Technologies- **Develop and implement** security controls and guardrails for AI/ML platforms including Azure AI Services, Microsoft 365 Copilot, and other generative AI tools- **Establish data security best practices** for AI training data, model inputs/outputs, and AI-generated content in accordance with CISA and other guidance- **Monitor AI system access**, prompt injection risks, data exfiltration attempts, and adversarial attacks on AI models (DSPM for AI)- **Collaborate with security, infrastructure, and other engineering teams** to implement privacy-preserving techniques and secure AI development lifecycle practices**Qualifications**Education- Bachelor’s degree in computer science, Information Security, Cybersecurity, or related technical fieldExperience- **Minimum 7 years** of progressive experience in enterprise data security, information protection, or cybersecurity engineering- **Minimum 5 years** of hands-on experience with Microsoft 365 security and compliance tools (Microsoft Purview, Defender suite, Azure AD/Entra ID)- **Minimum 3 years** of experience with Azure security services and cloud data protection- **Experience with AI/ML security** or securing generative AI platforms in enterprise environments (preferred but not required)- **Experience in consulting, professional services, or financial**services organizations is strongly preferredTechnical Skills- **Deep expertise** in Microsoft 365 security stack (Purview DLP, Defender for Endpoint/Office 365/Cloud Apps, Entra ID, Conditional Access)- **Strong proficiency** with Azure security services (Defender for Cloud, Key Vault, Azure Policy, Azure Firewall, Azure Sentinel)- **Hands-on experience** with Box Shield, Box Governance, and Box Platform APIs- **Advanced knowledge** of DLP technologies, data classification frameworks, and information rights management (IRM)- **Proficiency in scripting/automation** using PowerShell, Python, or similar languages for security automation- **Experience with SIEM/SOAR** platforms and security analytics tools- **Understanding of AI/ML security concepts** including data poisoning, model extraction, prompt injection, and adversarial attacks- **Familiarity with compliance frameworks** (NIST CSF, CIS Controls, ISO 27001/27701, GDPR, CCPA)Professional Competencies- **Strong analytical and problem-solving skills** with ability to assess complex security challenges- **Excellent communication skills** - able to translate technical concepts for non-technical stakeholders and executive leadership- **Collaborative mindset** - proven ability to work effectively with cross-functional teams including IT operations, legal, compliance, HR, and business units- **Project management capabilities** - experience leading security initiatives from conception through implementation- **Customer servi
