Security Engineering Senior Manager
TruistAbout the role
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Regular or Temporary:
RegularLanguage Fluency: English (Required)
Work Shift:
1st shift (United States of America)Please review the following job description:
Responsible for leading cloud data security and data engineering including designing, building, and enhancing cyber data lake, analytics, and reporting capabilities that enable enterprise cyber threat analysis, exposure assessment, and risk-based remediation. This role identifies and integrates critical cyber data sources in partnership with Truist Data Engineering and Data Analytics Engineering teams and serves as a lead liaison to define reporting, analytic, and dashboard requirements across Cloud Security, Threat Exposure Management (TEM), and Application Security. The position develops scalable data pipelines, internal dashboards, and analytical solutions that improve operational visibility, support cyber risk assessment, validate compensating controls, and drive vulnerability remediation prioritization.ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Identify, evaluate, and onboard internal and external cyber data sources required to support threat analysis, exposure assessment, and cyber risk reporting, including telemetry from cloud, infrastructure, application security, vulnerability, and security operations platforms.
Partner with Truist Data Engineering and Data Analytics Engineering teams to design, build, and enhance scalable cyber data lake and analytics capabilities, including ingestion pipelines, data models, metadata, lineage, quality controls, and reporting structures that enable reliable and secure use of cyber telemetry.
Work closely with Cloud Security, Threat Exposure Management (TEM), and Application Security teams to integrate data sets and develop shared capabilities that improve cyber threat analysis, attack surface visibility, and enterprise cyber risk assessment.
Lead definition of reporting, analytic, and dashboard requirements with Cloud Security, Threat Exposure Management (TEM), and partner teams, and develop internal dashboards and analytical capabilities that correlate threat, vulnerability, asset, and control data to support cyber risk reduction, remediation decisions, and operational visibility.
Apply analytical methods to prioritize vulnerability remediation by combining exploitability, exposure, asset criticality, and control effectiveness data to drive risk-based remediation sequencing and measurable reduction in cyber risk.
Engineer, maintain, and optimize secure data pipelines and supporting platform components for the cyber data lake, including monitoring, access controls, performance tuning, and issue resolution to ensure data availability, integrity, and timely delivery.
Serve as the lead liaison across cyber, cloud, application security, and data analytics engineering stakeholders to translate business and security needs into scalable data, reporting, and dashboard solutions, establish implementation priorities, and support adoption of data-driven cyber risk management practices.
Lead complex initiatives to expand cyber data lake, analytics, dashboarding, and reporting capabilities for Cloud Security and TEM, continuously improving data quality, automation, and operational insights that strengthen vulnerability management, remediation effectiveness, and overall cyber resilience.
Required Qualifications:
The requirements listed below are representative of the knowledge,
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