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This role is designed for astafflevelsecurity practitioner with deep Cyber Governance, Risk, and Compliance (GRC)expertisewho shapes the vision, strategy, and outcomes of GEICO's cyber governance automation capabilities. The Staff Security Engineer owns theendtoendautomated cyber governance program, including defining and delivering the roadmap for continuous control monitoring and validation, scalable evidence collection, andrealtimeaudit readiness across GEICO's hybrid cloud andonpremenvironments.

This position partners closely with engineering and platform teams to translate complex regulatory, policy, and control requirements into prioritized,well-definedautomation capabilities, ensuring solutions are scalable, sustainable, and aligned to enterprise risk priorities. Success in this role means turning governance requirements into durable,outcome drivenproducts thatdemonstratecontrol effectiveness and reduce audit friction.

Key Responsibilities

Cyber Governance Product & Program Ownership

• Contribute to the vision, strategy, and roadmap for GEICO's cyber governance automation capabilities, driving delivery through prioritized execution and continuous improvement.

• Define how policies, standards, regulatory frameworks, and technical controls are operationalized and continuouslyvalidatedthrough automated evidence collection.

• Own governance automation platformsendtoendas the system of record for control health, evidence, and audit readiness across cloud andonpremenvironments.

• Own end to end accountability for achieving near100% automation coverage, including designing scalableonpremautomation strategies and governing compensating controls where full automation is notfeasible, whilemaintainingaudit defensibility.

• Define and enforce governance standards for automation coverage targets,evidenceSLAs, control performance metrics, and telemetry requirements.

• Own the governance automation roadmap, prioritizing work based on risk reduction, regulatory requirements, and operational efficiency.

• Establish and operationalize a standardized,riskbasedremediation lifecycle, including severity classification, timelines, escalation paths, closure criteria, and enforced SLAs.

• Maintain ownership of remediation scheduling frameworks andforwardlookingvisibility into upcoming deadlines.

• Define and operationalize a standardized remediation lifecycle for control failures, including severity classification, remediation timelines, escalation paths, and closure criteria

• Establish and enforce risk-based remediation SLAs (e.g., critical, high, medium), ensuringtimelyresolution of non-compliant controls across engineering and platform teams

• Own the remediation scheduling framework, providing forward-looking visibility into non-compliance, upcoming deadlines, and enforcement timelines

• Ensure all non-compliance is consistently tracked, prioritized, and driven to resolution through scalable workflows

• Provide transparent reporting and forecasting of remediation status, risks, and expected closure timelines to leadership

• Ensure allnoncomplianceis consistently tracked, prioritized, and driven to closure through scalable workflows.

• Partner with compliance, risk, audit, and engineering leaders to ensure governance capabilities align with enterprise risk priorities and regulatory obligations (e.g., NYDFS, PCI DSS, NIST CSF, SOC, ISO).

• Act as the single point of accountability for governance automation outcomes, includingexecutivelevelrisk, remediation, andauditreadinessreporting with forecasting.

Technical Strategy & Product Stewardship

• Own theproduct strategyanddirectionfor GEICO's Automated Cyber Governance capabilities, ensuring clearsystemofrecorddefinitions, scalability expectations, and alignment tolongtermenterprise needs.

• Partner with engineering and platform teams todefine and prioritize governance automation capabilities, providing product requirements, architectural guardrails, and acceptance criteria rather than performing direct system development.

• Partner with engineering and platform teams to design and implement scalable on-prem automation strategies for control monitoring and evidence collection, ensuring alignment with enterprise data, integration, and telemetry standards

• Define andmaintainintegration principles, system boundaries, and data standardsto ensure reliable, secure, and consistent evidence flows across cloud platforms, security tools, and internal systems.

• Evaluate and guide the responsible use of AI capabilities within governance platforms(e.g., evidence classification, control mapping suggestions, risk summarization), ensuring explainability, auditability, and alignment with regulatory expectations.

• Serve as theprimary point of accountability for governance automation outcomes, working with engineering leaders to resolve complex platform challenges and ensuresolutionsremainreliable, sustainable, and fit for purpose.

• Ensure 100% source system adoptionand integrationfeeding governance evidence (e.g., cloud, IAM, logging, asset inventory)

• Accountability foridentifyingand closing:Missing telemetry, Integration gaps, Inconsistent or unreliable data sources, Enforcement of standardized telemetry and data requirements across teams

• Ownership of automated control quality assurance,includingFalse positive / false negative reduction, Control tuning, Drift detection

• Ensuring all automated evidenceisAuditdefensible, Traceable, Aligned to regulatory intent

• Ownership ofcontrol change managementfor new and modified controls

• Define and lead the change management process for new and modified controls

• Determinethe roadmap for controlsmonitorand evidence collection based on regulatory obligations and risk

• Translate regulatory, policy and control changes into actionable engineering requirements, including implementation guidance and evidence expectations

• Drive awareness by providing proactive communication to stakeholders on what is changing, why it matters and by when compliance isrequired

• Monitor and report on control adoption rates and readiness escalating risks when timelines are not met

• Translating regulatory, policy, and control changes into:Engineering requirements

• Implementation guidance, Evidence expectations

• Proactive stakeholder communication:What is changing,Whyit matters, Compliance deadlines, Tracking and escalatingcontrol adoption readiness risks

Automation & Continuous Control Monitoring

• Define how security policies, standards, and control requirements aretranslated into automated, continuouslymonitoredcontrol capabilities, including clear requirements, success criteria, andevidenceexpectations.

• Establish standards and expectations forautomated detection of controlnonadherence, and partner with engineering and remediation teams to ensureappropriate remediationguidance, workflows, or integrations are in place.

• Ensure evidence outputs areauditready, traceable, repeatable, and aligned to regulatory intent, materially reducing reliance onpointintime, manual evidence collection.

• ApplyAIassistedtechniques to improve control validation and evidence quality, such as anomaly detection, evidence completeness checks, control drift identification, and signal prioritization across large control populations.

• LeverageAIenabledinsights to reduce noise and surface material control failures, ensuring governance automation focuses on true risk rather than generatinglowvaluealerts.

CrossFunctionalLeadership & Enablement

• Serve as atrusted partner and advisorto engineering, infrastructure, cloud, and security teams by providing clarity on governance requirements, regulatory intent, and how they are operationalized through scalable solutions.

• Influence partner teams to adopt aproductandautomation firstapproachto governance, compliance, and policy adherence, reducing manual effort and improving consistency across the enterprise.

• Communicate complex technical and regulatory concepts clearly to a broad range of stakeholders, including engineers, risk and audit partners, and executive leadership.

• Contribute to raising the organization'sgovernance, automation, and product maturitythrough guidance, enablement, andcrossfunctionalcollaboration.

Program Maturity & Continuous Improvement

• Continuously assess governance automation capabilities, processes, and supporting tools toidentifyopportunities toscale adoption, increase automation coverage, and improve effectiveness.

• Own the definition and evolution ofcyber governance metrics and reporting, including dashboards that provide clear visibility into control health, automation coverage, audit readiness, and risk posture for executive and stakeholder audiences.

• Track product and program outcomes,identifygaps against regulatory and riskobjectives, andprioritize improvement initiativesthat advance maturityquarter over quarter.

• IncorporateAIdriveninsights into governance metrics and reporting, such as trend analysis, control health forecasting, or remediation prioritization, to improve executive visibility anddecision-making.

• Promote continuous learning andbest practicesharing across cyber governance, risk, audit, and engineering communitiesto improve consistency, effectiveness, andlong-termsustainability.

Metrics, Reporting & Executive Insight

• Establishesand enforces the cyber governance metric model that directly drives control effectiveness, remediation accountability, and enterprise risk reduction. The Staff Security Engineer has clear ownership of defining, standardizing, and operationalizing metrics that areautomation backed, auditable, and actively used to hold teams accountable

Accountable for defining and owning core governance metrics, including:

• Automation coverage (%) across regulatory and internal control sets

• Continuous vs. manual control execution ratio

• Evidence freshness and SLA adherence for automated controls

• Control failure rates and recurrence trends

• Remediation mean time to resolution (MTTR)

• Tool, control, and automation adoption andutilizationrates

• SLA adherence by severity tier for policy, control, and regulatory findings

Executive reporting produced by this role:

• Clearly ties automation outcomes tomeasurable risk reduction

• Demonstrates sustained,realtimeaudit readinessand control health

• Quantifiesoperational efficiency gainsfrom automation, including reduced manual effort, faster remediation, and fewerauditdrivenescalations

Required Qualifications

• 6+ years of experience across Cyber Governance, Risk, and Controls (GRC), withdemonstratedownership ofcomplex,cross functionalprograms or productsthat deliver measurable compliance and risk outcomes.

• Proven experiencedefining, scaling, and evolving governance automation or compliance platforms, including ownership of outcomes such as control validation, evidence quality, and audit readiness.

• Strong technical fluency with cloud platforms, integrations, and automation concepts, with the ability topartner effectively with engineering teamsto define requirements and evaluate implementation approaches (without direct system development responsibility).

• Deep understanding of major security and compliance frameworks (e.g., NIST CSF, NYDFS 500, PCI DSS, SOC, ISO 27001) and the ability totranslate regulatory expectations into scalable governance capabilities.

• Demonstrated ability tolead and align complex initiativesacross GRC, engineering, risk, and audit stakeholders, with accountability for outcomes, adoption, andlongtermsustainability.

Technical Skills

• Strong technical fluency across modern engineering concepts, with the ability topartner effectively with engineering teamson the design and delivery of scalable governance automation capabilities.

• Experience owning and scalingofftheshelfautomated governance and compliance platforms(e.g.,Drata, Vantaor similar), including defining control mappings, evidence models, automation coverage targets, and integration strategy.

• Working knowledge of APIs, authentication mechanisms (e.g., OAuth, SAML), and common data formats (e.g., JSON, XML), sufficient todefine requirements, evaluate approaches, and assess integration feasibility.

• Familiarity with cloud platforms (AWS, Azure, and/or GCP) and an understanding of how security controls areimplemented,validated, andevidencedwithin cloud environments.

• Exposure to containers,cloudnativeservices, and CI/CD environments to support informeddecisionmakingand collaboration (nice to have).

• Experience applying or governingAIassistedcapabilities within security, cybergovernanceor risk platforms, with an understanding of model limitations, data quality considerations, and audit implications

What Success...