Senior Manager, Data Security

About the role

The Senior Manager, Data Security Engineering will lead the engineering strategy and execution for data protection across Autodesk's enterprise environment. This role will build and lead a high-performing engineering team that designs, deploys, and operates scalable data security controls across Autodesk's cloud, SaaS, and endpoint environments.

Responsibilities

• Define the engineering strategy, architecture, and roadmap for Autodesk's data security capabilities spanning data classification and discovery, DLP, cloud data protection, and SaaS security posture
• Lead engineering teams responsible for DSPM, SSPM, DLP platforms, data classification services, and data security integrations
• Own the design and operation of data discovery and classification pipelines across structured and unstructured data in cloud, SaaS, and endpoint environments
• Drive engineering for DLP policy enforcement across endpoints, network egress, email, cloud storage, and generative AI surfaces
• Build and maintain cloud data security controls across AWS, Azure, and GCP, including storage security, data plane visibility, and misconfiguration remediation
• Establish and mature SaaS security posture management capabilities, including data exposure discovery, third-party application risk, and configuration enforcement
• Ensure data security engineering aligns to data minimization, least privilege access, encryption in transit and at rest, and auditability requirements
• Partner with Legal, Privacy, Compliance, Engineering, and People teams to translate regulatory requirements (GDPR, CCPA, SOC 2, FedRAMP) into durable, scalable engineering controls and ensure data security requirements are embedded across the employee and product lifecycle
• Drive adoption of automated classification, sensitivity tagging, and policy enforcement to reduce manual data handling risk at scale
• Partner with IAM Engineering on data access governance, entitlement visibility, and access-based data risk reduction
• Lead and grow a high-performing data security engineering organization with strong technical ownership, delivery standards, and production readiness
• Drive active adoption of the latest AI-assisted engineering and security tools across the team, with a high bar for genuine proficiency, not just awareness

Requirements

• 8+ years of experience in data security, security engineering, or related enterprise security domains
• 3+ years leading engineering teams responsible for data security platforms, DLP, DSPM, SSPM, or cloud data protection at enterprise scale
• Strong hands-on experience with DSPM platforms for sensitive data discovery, classification, and risk quantification across cloud environments
• Strong hands-on experience with SSPM platforms for SaaS configuration posture, data exposure, and third-party application risk management
• Deep knowledge of data classification frameworks, sensitive data discovery, and automated tagging and labeling approaches
• Experience designing and operating DLP controls across endpoints, network, cloud storage, email, and SaaS applications
• Experience securing data in cloud environments across AWS, Azure, and GCP, including storage security, data access governance, and visibility tooling
• Strong understanding of data-centric regulatory requirements including GDPR, CCPA, and SOC 2, and how to translate them into engineering controls
• Experience integrating data security controls with identity, endpoint, and network security domains
• Demonstrated proficiency with current AI-assisted engineering tools (e.g., coding assistants, AI-driven detection, automated triage), with evidence of using them to meaningfully improve team output and security outcomes
• Strong cross-functional leadership and the ability to influence Legal, Privacy, Compliance, Engineering, and People stakeholders

Qualifications

• Relevant certifications such as CISSP, CISM, or CCSP