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 includes owning the data security engineering pillar, with accountability for data classification and discovery, data loss prevention (DLP), cloud data security, and SaaS security posture.

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.
• 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.

Skills

• Hands-on experience with DSPM and SSPM platforms.
• Experience with AI-era data risks, including training data exposure, LLM output leakage, prompt injection risk, and vector database security.
• Experience with data access governance, data lineage, and entitlement-based data risk reduction.

Benefits

Autodesk offers a comprehensive benefits package including health and financial benefits, time away, and everyday wellness programs. For U.S.-based roles, the starting base salary range is between $152,000 and $272,250, with offers based on experience and geographic location. Additional compensation may include annual cash bonuses, commissions for sales roles, stock grants, and a benefits package. Autodesk is committed to equal employment opportunity and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Autodesk is proud to foster a culture of belonging where everyone can thrive.