Lead Information Security Engineer

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RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

Leads the design and delivery of security data engineering and intelligence capabilities that integrate, correlate, enrich, and operationalize data across security, governance, cloud, application, endpoint, vulnerability, and risk platforms. Builds governed, reusable data products and analytics that improve risk prioritization, remediation effectiveness, control visibility, and measurement of security outcomes. Serves as a hands-on technical lead, leads small and complex cross-functional initiatives, mentors technical staff, and partners with leaders, control owners, remediation teams, Enterprise Data Platform teams, and other stakeholders. Helps define, build, validate, and socialize trusted KPIs, KRIs, control-effectiveness measures, and outcome-based metrics that support clear accountability and measurable risk reduction.

Principle Duties

• Leads the design and delivery of complex security data engineering initiatives and small cross-functional project teams, providing technical direction from solution design through implementation and operational ownership.

• Ingests and integrates data from security, governance, cloud, application, endpoint, vulnerability, identity, and risk platforms using scalable data pipelines, applications, APIs, and automation.

• Deduplicates, correlates, and enriches security findings with asset, ownership, business, control, and risk context to produce actionable intelligence.

• Designs and delivers governed security data products through RGA’s Enterprise Data Platform, using Snowflake and enterprise data-engineering patterns to make security information reusable, trusted, and accessible.

• Develops and optimizes Snowflake data models, SQL transformations, queries, and compute patterns while managing data quality, performance, access, traceability, and cost.

• Partners with Enterprise Data Platform, Data Governance, and security teams to establish sustainable ingestion, transformation, role-based access, lineage, metadata, data-quality, and lifecycle practices.

• Co-develops KPIs, KRIs, control-effectiveness measures, thresholds, targets, and supporting calculation methodologies aligned with security strategy, risk objectives, and technical standards.

• Establishes metric governance through documented definitions, authoritative data sources, ownership, data-quality checks, refresh cadence, version control, and traceability to underlying risks, controls, and remediation workflows.