• Focus on building and operating the data platform that powers security operations across NVIDIA. • Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources. • Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently. • Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem. • Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams. • Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost. • Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities. • Maintain clear documentation of data sources, schemas, and entity definitions so teams across NVIDIA can reliably build on the platform.

• Define the cross-company reference architecture for governed agent actions, including durable policies, runtime controls, adapter boundaries, credential mediation, detector response, audit correlation, failure modes, and production-readiness criteria. • Translate Agent Policy Fabric concepts into executive-ready decision papers, engineering standards, threat models, control objectives, and implementation achievements without treating working-draft architecture as a pre-decided product direction. • Partner with Product Security, OpenShell, Omnistation, Identity, IT, Fleet/MDM, SecOps, 3S, legal/privacy, and corporate-resource owners to define who owns each control surface and how agent workflows move from proof-of-life to enterprise pilot. • Establish review patterns for agent workflows, including policy authoring, approval, signing, runtime admission, credential issuance, direct-egress controls, audit evidence, managing anomalies, and break-glass procedures. • Brief senior leaders, customer-facing teams, and partner engineering teams on NVIDIA's agent security posture, APF maturation path, open decisions, known limitations, and the evidence required before broader deployment.

• Implement and lead internal initiatives that reinforce the security program’s commitment to security. • Collaborate closely with internal teams—including security awareness and training, communications, and executive leadership. • Develop and promote initiatives that embed security values and achievements throughout the organization. • Ensure the organization’s security values are visible, trusted, and respected by internal and external stakeholders. • Help shape a strong security culture at Jamf by being an advocate or “security champion”. • Support business growth and strengthen the organization’s reputation with customers and business partners. • Develop content and communication strategies to engage Jamf employees at all levels. • Establish and monitor mechanisms for employees to report security issues or concerns. • Collaborate with awareness and training personnel to develop training material on the value of security as a business enabler. • Develop and monitor KPIs and metrics to gauge the success of the program. • Position the organization as an industry leader in security by promoting expert insights, white papers, and speaking engagements for security leaders. • Coordinate participation in industry events, conferences, and panels to strengthen brand presence and authority in cybersecurity.

• Data Collection: Locate, target and recapture data from Phishing-as-a-Service (PhaaS) kits using a combination of human intelligence and platform sourcing. • Data Analysis: Apply data science techniques to understand the quality of sourced data, in order to refine and improve the PhaaS data sourcing pipeline. • Human Intelligence: Perform human intelligence techniques such as managing multiple alternate personas, actor engagements, and social engineering in support of data recapture efforts. • Security Analysis: Participate in the drafting of research blogs and analytical products to support customers and business objectives. • Security Research: Participate in security research including investigation of threat actors, PhaaS, and other critical research in support of SpyCloud’s priorities.