Senior Manager, Data Security

Job Requisition ID #26WD99489Position OverviewAutodesk's Information Security Engineering organization is looking for a Senior Manager, Data Security Engineering to lead the engineering strategy and execution for data protection across Autodesk's enterprise environment. This leader will own the data security engineering pillar, with accountability for data classification and discovery, data loss prevention (DLP), cloud data security, and SaaS security posture. Reporting to the Senior Director, Information Security Engineering, 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.This role requires both strong engineering depth and strong security judgment. The Senior Manager will partner closely with peer leaders across IAM, Network, SaaS, and Endpoint Security Engineering to ensure data-centric security controls are integrated across Autodesk's full technology stack. This leader should bring hands-on experience with Data Security Posture Management (DSPM) and SaaS Security Posture Management (SSPM) platforms, and the ability to translate data risk into engineering outcomes at enterprise scale. This is a forward-looking role: the expectation is not just familiarity with AI-assisted engineering tools, but genuine proficiency. The right candidate actively uses and evaluates the latest AI capabilities to accelerate detection, automate response, and raise the quality bar for their team.This role is remote-friendly within North America. For those who prefer in-office or hybrid work, the role can be based in San Francisco, CA; Portland, OR; Boston, MA; Denver, CO; or Toronto, ON. Travel requirements are approximately 20%.ResponsibilitiesDefine the engineering strategy, architecture, and roadmap for Autodesk's data security capabilities spanning data classification and discovery, DLP, cloud data protection, and SaaS security postureLead engineering teams responsible for DSPM, SSPM, DLP platforms, data classification services, and data security integrationsOwn the design and operation of data discovery and classification pipelines across structured and unstructured data in cloud, SaaS, and endpoint environmentsDrive engineering for DLP policy enforcement across endpoints, network egress, email, cloud storage, and generative AI surfacesBuild and maintain cloud data security controls across AWS, Azure, and GCP, including storage security, data plane visibility, and misconfiguration remediationEstablish and mature SaaS security posture management capabilities, including data exposure discovery, third-party application risk, and configuration enforcementEnsure data security engineering aligns to data minimization, least privilege access, encryption in transit and at rest, and auditability requirementsPartner 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 lifecycleDrive adoption of automated classification, sensitivity tagging, and policy enforcement to reduce manual data handling risk at scalePartner with IAM Engineering on data access governance, entitlement visibility, and access-based data risk reductionLead and grow a high-performing data security engineering organization with strong technical ownership, delivery standards, and production readinessDrive active adoption of the latest AI-assisted engineering and security tools across the team, with a high bar for genuine proficiency, not just awarenessMinimum Qualifications8+ years of experience in data security, security engineering, or related enterprise security domains3+ years leading engineering teams responsible for data security platforms, DLP, DSPM, SSPM, or cloud data protection at enterprise scaleStrong hands-on experience with DSPM platforms for sensitive data discovery, classification, and risk quantification across cloud environmentsStrong hands-on experience with SSPM platforms for SaaS configuration posture, data exposure, and third-party application risk managementDeep knowledge of data classification frameworks, sensitive data discovery, and automated tagging and labeling approachesExperience designing and operating DLP controls across endpoints, network, cloud storage, email, and SaaS applicationsExperience securing data in cloud environments across AWS, Azure, and GCP, including storage security, data access governance, and visibility toolingStrong understanding of data-centric regulatory requirements including GDPR, CCPA, and SOC 2, and how to translate them into engineering controlsExperience integrating data security controls with identity, endpoint, and network security domainsStrong engineering fundamentals across APIs, automation, observability, and secure platform deliveryDemonstrated proficiency with