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About the Role

Autodesk's Information Security Engineering organization is seeking a Senior Manager, Data Security Engineering to lead the data protection engineering strategy and execution across the enterprise. This role owns the data security engineering pillar, focusing on data classification, discovery, DLP, cloud data security, and SaaS security posture. The position involves building and leading a high-performing team to design, deploy, and operate scalable data security controls across cloud, SaaS, and endpoint environments, requiring both strong engineering depth and security judgment. The Senior Manager will collaborate with peer leaders in IAM, Network, SaaS, and Endpoint Security to integrate data-centric controls across the technology stack. Proficiency with DSPM and SSPM platforms, and the ability to translate data risk into enterprise-scale engineering outcomes are essential. This role emphasizes genuine proficiency with AI-assisted engineering tools to enhance detection, automate response, and improve quality.

Responsibilities

Define the engineering strategy, architecture, and roadmap for data security capabilities including data classification, 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 with data minimization, least privilege access, encryption, and auditability requirements.
Partner with Legal, Privacy, Compliance, Engineering, and People teams to translate regulatory requirements (GDPR, CCPA, SOC 2, FedRAMP) into scalable engineering controls.
Drive adoption of automated classification, sensitivity tagging, and policy enforcement to reduce manual data handling risk.
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.

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.
Strong engineering fundamentals across APIs, automation, observability, and secure platform delivery.
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.

Skills

Data Security Engineering
Data Protection
Data Classification
Data Discovery
Data Loss Prevention (DLP)
Cloud Data Security
SaaS Security Posture Management (SSPM)
Data Security Posture Management (DSPM)
AWS
Azure
GCP
API
Automation
Observability
Secure Platform Delivery
AI-assisted Engineering Tools

Location

Remote (North America)
San Francisco, CA
Portland, OR
Boston, MA
Denver, CO
Toronto, ON

Work Type

Remote
Hybrid
Onsite

Experience Level

Senior Manager
8+ years in data security or related domains
3+ years leading engineering teams

Salary/Compensations

$152,000 - $272,250 (U.S. based roles)

Benefits

Health benefits
Financial benefits
Time away
Everyday wellness
Annual cash bonuses
Stock grants

About the Company

Autodesk software is used to create green buildings, clean cars, smart factories, and hit movies, helping innovators turn ideas into reality.
Autodesk fosters a culture that guides how employees work, interact with customers and partners, and show up in the world.
Autodesk enables employees to do meaningful work that helps build a better world designed and made for all.

Equal Opportunity

Autodesk is an equal opportunity employer 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.
Autodesk also considers for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Autodesk is committed to cultivating a culture of belonging where everyone can thrive.