• Responsible for the day-to-day administration of the Vertex data classification and protection systems • Consult with members of the technical and business communities to identify and label Vertex data • Analyze and resolve complex software and hardware problems • Ensure correct processes are followed in change management for tracking and reproducibility • Create training materials to expand the adoption of identifying and labeling data using Microsoft 365 Sensitivity Labels • Independently create data usage reports and integrate new sources of Vertex data

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.