Senior Cybersecurity Third-Party Risk Analyst

Boeing•Denver, CO

1d•Hybrid

About The Position

We are seeking a highly experienced Senior Cybersecurity Third-Party Risk Analyst to perform advanced, technical assessments of third-party cyber risk and to design automation and process improvements using configuration, integration, and agentic AI capabilities. This senior individual contributor will focus on developing hands-on assessment processes to evaluate vendor controls, validate technical evidence, and drive remediation recommendations - while also building robust automation and configuration assets (scripts, connectors, playbooks, and AI agents) to scale assessment throughput, improve data quality, and accelerate risk decisions. A strong emphasis on lean process enhancement will ensure the program delivers higher velocity, lower waste, and measurable improvements in assessment quality and cycle time. Though the position is primarily remote, there will be times to go into a Boeing facility. Candidates must live near a Boeing Facility or be willing to relocate at their own expense. This position requires candidates to be a US Person (Green Card holder or US Citizen)

Requirements

5+ years of cybersecurity experience with at least 3 years focused on third-party/vendor security assessments or equivalent technical assessment roles.
Deep hands-on expertise reviewing technical artifacts: cloud console evidence (AWS/Azure/GCP), architecture diagrams, IAM configurations, network security, encryption, logging/monitoring, vulnerability scans, and penetration test reports.
Proven ability to translate technical findings into concise executive-level summaries and remediation plans; excellent written and verbal communication skills.
Demonstrated experience applying lean principles or continuous improvement methods to operational processes - ability to run value stream mapping, define and measure waste, and implement sustainable improvements.
Comfortable working independently as a senior individual contributor and coordinating across technical and non-technical stakeholders; experience in agile environments and using agile tooling (ADO, JIRA).
This position requires candidates to be a US Person (Green Card holder or US Citizen)

Nice To Haves

Bachelor’s degree in Computer Science, Information Security, Engineering, or related technical field; advanced degree (MS or equivalent) preferred.
Industry recognized security certifications (CISSP, CISM, CRISC) and/or cloud security certifications (AWS/Azure/GCP Security) preferred.
Strong configuration skills for security/TPRM tooling (Aravo, ServiceNow GRC, RSA Archer, OneTrust, or similar) including forms, workflows, scoring, and data model configuration.
Formal training or certification in Lean/Six Sigma, Kaizen, or similar continuous improvement methodologies.
Practical experience designing, training, or integrating agentic AI components (LLM orchestration, retrieval-augmented generation, agent frameworks) into security processes - able to implement guardrails, audit logging, and privacy controls.
Prior experience implementing AI governance for security use cases
Familiarity with software supply chain risk concepts (SBOMs)
Experience with SIEM/SOAR integrations, vulnerability management platforms, and continuous monitoring
Experience working in regulated industries (finance, aviation, healthcare, defense) or with global privacy/regulatory requirements (GDPR, CMMC, etc...).

Responsibilities

Design & Execute end-to-end cybersecurity third-party assessments for strategic and high-risk vendors, including questionnaire reviews, technical evidence validation, architecture reviews, cloud configuration analysis, IAM assessments, encryption and key management reviews, logging/monitoring validation, and vulnerability/penetration test interpretation.
Produce repeatable processes that create clear, prioritized risk findings and remediation guidance tailored to vendor risk and business impact
Design, build, and maintain automated assessment capabilities: evidence collection scripts, API connectors, ETL pipelines, data validation routines, and integration points with TPRM/GRC platforms (Aravo, ServiceNow GRC, RSA Archer, OneTrust, etc.).
Develop and deploy agentic AI components (e.g., automated evidence triage, document ingestion and extraction, risk-scoring assistants, remediation suggestion agents) while ensuring safe, auditable, and privacy-preserving behavior.
Lead lean process improvement initiatives across the assessment lifecycle: map value streams, eliminate waste, reduce handoffs, optimize SLAs, and implement continuous improvement cycles to increase throughput and quality.
Create and maintain technical assessment artifacts: standardized templates, evidence matrices, technical checklists, assessment playbooks, and scoring rubrics that support repeatability and auditability.
Validate and tune automated scoring models and AI outputs; perform periodic calibration and manual reviews to ensure accuracy and reduce false positives/negatives.
Collaborate closely with Procurement, Legal, Security Operations/CIRT, Privacy, and other business stakeholders to ensure technical assessment findings map to contractual requirements and incident response expectations.
Support remediation verification and re-assessment - use automation to track evidence submission, validate fixes, and update risk status.
Maintain strong documentation & processes to support change management of automation logic, AI agent behaviors, data mappings, integration schemas
Stay current on emerging attack techniques, supply chain threats, automation best practices, responsible AI controls, and lean methods; propose and implement improvements.