Data Governance and Protection Analyst

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world’s technology.

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world’s technology.

Salary:
$ - $

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Applied Materials has an exciting opportunity to join the Legal & Compliance Organization in a highly visible role supporting the Enterprise Data Protection program. This role will help advance enterprise data protection capabilities by designing, implementing, and continuously improving scalable solutions that safeguard sensitive and regulated information while enabling business innovation.

The ideal candidate will partner closely with Legal, Information Security, business stakeholders, data owners, and technical teams throughout Applied to strengthen data discovery, governance, classification, sensitivity labeling, metrics, automation, and user adoption across structured and unstructured data environments.

• Develop and support strategy, implementation, and continuous improvement of scalable enterprise data protection capabilities including data discovery, classification, and handling practices.
• Enable AI-enabled agents, workflow automation, and analytics solutions with appropriate teams and tools.
• Partner with business groups to understand business processes and implement practical data governance, classification, and protection requirements.
• Develop, maintain, and operationalize sensitivity labeling, classification taxonomy, and data handling frameworks to enable accurate identification, management, and protection of sensitive data.
• Develop advanced analytics, metrics, dashboards, executive-ready reporting and automation to help monitor performance and provide insights on data protection posture, classification, and tagging effectiveness.
• Serve as a bridge between technical teams, business stakeholders, Legal, Information Security, data owners, and risk and compliance partners to translate requirements into practical operating models, controls, and program deliverables.
• Support user education, change management, and adoption of data classification and handling policies to ensure employees understand how to label, manage, and protect sensitive information appropriately.

• Bachelor’s degree in Program Management, Risk Management, Information Management, Data Governance, Information Security, or a related field.
• Minimum 4-7 years of relevant experience in data governance, data protection, cybersecurity, technical program management, data management, or a related field.
• Experience supporting enterprise data…