SR. DATA ENGINEER THREAT MANAGEMENT DATA & ANALYTICS (HYBRID-CHARLOTTE, NC)

 

A family of companies and experiences

As the leading foodservice and support services company, Compass Group USA is known for our great people, great service and our great results. If you’ve been hungry and away from home, chances are you’ve tasted Compass Group’s delicious food and experienced our outstanding service. We have over 284,000 US associates who work in award-winning restaurants, corporate cafes, hospitals, schools, arenas, museums, and more in all 50 states. Our reach is constantly expanding to shape the industry and create new opportunities for innovation. Join the Compass family today!

great people. great services. great results.

Each and every individual plays a key role in the growth and legacy of our company. We know the next big idea can come from anyone. We encourage developing and attracting expertise that differentiates us as a company as we continue to raise the bar.

Job Summary:

The Sr. Data Engineer Threat Management Data and Analytics brings a data-driven and intelligence-focused approach to Corporate Security by developing, engineering, and analyzing systems that support threat detection, risk mitigation, and facility protection strategies across the organization.

This role combines data engineering, analytics, and security intelligence to enhance situational awareness, incident reporting, threat monitoring, and predictive risk modeling. The position will design and optimize backend data structures, dashboards, threat reporting tools, and system integrations that improve the organization’s ability to identify, assess, and respond to physical security threats across corporate and field locations.

The ideal candidate is highly analytical, technically skilled, and capable of transforming complex security-related data into actionable insights for executive and operational decision-making.

Responsibilities:

Data Engineering & Systems Development

• Design, build, and maintain secure data pipelines and infrastructure supporting threat management and facility security programs.
• Integrate data from multiple sources (incident reporting systems, access control, video surveillance systems, HR data, risk systems, third-party threat intelligence feeds).
• Develop structured data models to standardize threat reporting and trend analysis.
• Optimize and enhance Corporate Security dashboards and reporting platforms (Power BI, SQL, enterprise BI tools).
• Support system configuration and user interface enhancements within Risk Management or Incident Management systems (e.g., Origami Risk or similar platforms).

Threat Analytics & Intelligence

• Research, hypothesize, and develop analytical models to identify patterns in security incidents, workplace violence indicators, facility breaches, and emerging risks.
• Develop predictive analytics and forecasting models to proactively identify high-risk locations or behaviors.
• Analyze trends related to physical security, insider threats, workplace violence, vandalism, and external threat indicators.
• Translate complex data into executive-level visualizations and actionable insights.

Incident Reporting & Performance Metrics

• Develop, maintain, and automate threat management KPIs and scorecards.
• Assist in monthly and quarterly operational reporting highlighting Corporate Security performance metrics.
• Standardize incident taxonomy and classification to improve data consistency.
• Validate data integrity and ensure accuracy across reporting systems.

Process Optimization & Governance Support

• Evaluate existing threat reporting processes and identify opportunities for automation and efficiency.
• Partner with Security, HR, Legal, Operations, and IT to improve cross-functional data flow.
• Support governance initiatives by strengthening data controls and auditability of security systems.
• Build business cases using data to support changes in security policies, investments, and facility protection strategies.

Continuous Improvement & Innovation

• Stay current on emerging technologies in physical security analytics, AI-based threat detection, and risk modeling.
• Recommend enhancements to improve proactive threat detection capabilities.
• Support crisis response data needs during major security events.

Qualifications:

Education

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Criminal Justice, Security Management, or related field.
• Advanced degree or se