Note: The job is a remote job and is open to candidates in USA. Reinsurance Group of America (RGA) is hiring a Lead Information Security Engineer to design and deliver security data engineering and intelligence capabilities across security, governance, cloud, application, endpoint, vulnerability, and risk platforms. The role builds governed, reusable data products and analytics, leads cross-functional initiatives, mentors technical staff, and develops trusted security metrics to support risk prioritization and measurable security outcomes.
Responsibilities
- 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
- Socializes metrics with leaders, control owners, and remediation teams by translating technical results into clear risk narratives, validating definitions and assumptions, and connecting executive indicators to accountable teams and actions
- Develops tool-agnostic dashboards, scorecards, reporting capabilities, and reusable services with drill-through from leadership indicators to supporting assets, controls, findings, and remediation work
- Identifies trends, systemic risks, concentrations of exposure, control gaps, and remediation opportunities, and provides clear recommendations to technical teams and leadership
- Builds strong data foundations for security automation and future AI-enabled and Model Context Protocol-based capabilities
- Technically mentors associates, establishes engineering standards, guides design and peer reviews, and provides training and knowledge sharing as required
- Evaluates new security, data, and analytics technologies and recommends solutions that maximize business value while reducing manual effort and unnecessary vendor dependency
- Communicates architecture, tradeoffs, delivery status, risks, and recommendations clearly to technical teams, leaders, and business stakeholders
Skills
- Bachelor's degree in Arts/Sciences (BA/BS) or equivalent experience
- 6+ years of experience in security engineering, information systems, data engineering, security analytics, application development, or a closely related discipline, including significant hands-on security technical delivery
- Demonstrated experience leading technical projects or small project teams, guiding solution design, mentoring others, and driving work through delivery
- Strong information security knowledge and the ability to work with vulnerability, exposure, cloud, application, endpoint, identity, governance, and control data
- Experience defining and operationalizing KPIs, KRIs, control measures, and outcome-based metrics, including calculation logic, thresholds, targets, ownership, and validation
- Working knowledge of governed data-product practices, including role-based access, lineage, metadata, data quality, ownership, and secure data sharing
- Experience with security analytics, business intelligence, dashboard development, data visualization, and executive or operational reporting
- Advanced hands-on skill with Python, SQL, APIs, data modeling, databases, and automated data pipelines
- Experience building analytical models, pipelines, or data products on Snowflake, an enterprise data platform, or a comparable cloud data ecosystem
- Experience designing, developing, deploying, and operating applications or data services in AWS or another major cloud platform
- Advanced oral and written communication skills, including the ability to explain complex technical and risk concepts to leaders, control owners, engineers, and remediation teams
- Advanced ability to translate business and security needs into maintainable technical solutions, measurable outcomes, and actionable recommendations
- Advanced investigative, analytical, problem-solving, stakeholder-management, change-management, negotiation, and influence skills
- Ability to balance strategic architecture with hands-on engineering, manage competing priorities, and operate effectively with limited direction
- Ability to work effectively across technical, operational, risk, governance, and business functions
- Master's degree in Arts/Sciences (MA/MS) or relevant professional industry certification
- CISSP, CISA, CCSP, CGRC, Comptia CASP+, OSCP, CEH Certifications
- Experience managing and developing security data products, analytics, reporting, or metrics within a governed enterprise data environment
- Experience with Snowflake, dbt, Airflow, Atlan, Power BI, Git-based development workflows, infrastructure as code, CI/CD, containers, or serverless application patterns
- Experience with security platforms such as Wiz, GitHub Advanced Security, GitGuardian, CrowdStrike, Tenable, Nucleus, LogicGate, or comparable technologies
- Knowledge of exposure management, vulnerability prioritization, risk-based remediation, security program measurement, and control-effectiveness reporting
- Experience with AI-enabled integrations, automation, or Model Context Protocol
- Relevant cloud, security, data engineering, analytics, or architecture certifications
Benefits
- An annual bonus plan that includes all roles
- Some positions are eligible for participation in the long-term equity incentive plan
- A full range of health, retirement, and other employee benefits
- Gain valuable knowledge from and experience with diverse, caring colleagues around the world
- A respectful, welcoming environment that fosters individuality and encourages pioneering thought
- Vast, endless career potential
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