Cyber Engagement Program Lead

HP•Spring, TX

5d•$105,050 - $161,800

About The Position

HP is seeking a cybersecurity professional with 5–7 years of experience in enterprise security architecture, process transformation, and AI-driven security solutions. The role focuses on understanding cybersecurity processes end to end, identifying improvement opportunities, driving operational excellence, and partnering with business and technology stakeholders to strengthen the organization’s security posture. It combines technical expertise, process optimization, automation, and stakeholder management to support cybersecurity initiatives, enhance compliance, and contribute to enterprise-wide cybersecurity transformation. The position supports cybersecurity process management and transformation, enterprise security architecture, application security and tool adoption, and the use of AI and automation in security. The role also contributes to AI governance, Responsible AI principles, and AI security risk management. This is a full-time position in HP’s Data & Information Technology job category. The listed annual pay range is $105,050 to $161,800 USD for U.S. candidates, with additional opportunities for bonus and/or equity. Pay varies by location, job-related knowledge, skills, and experience.

Requirements

Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field.
5–7 years of experience in cybersecurity, security engineering, application security, security governance, vulnerability management, risk management, or related disciplines.
Strong understanding of cybersecurity frameworks and industry standards such as NIST CSF, ISO 27001, ISO 42001, CIS Controls, OWASP, or similar.
Experience in cybersecurity process improvement, governance, operational management, and transformation initiatives.
Understanding of enterprise security architecture principles and security engineering concepts.
Knowledge of Artificial Intelligence, Generative AI, Large Language Models, AI governance, and AI security risks.

Nice To Haves

Experience supporting cybersecurity transformation programs.
Exposure to cloud security, DevSecOps, Zero Trust, and modern security architectures.
Experience implementing AI-enabled security tools, Security Copilots, intelligent assistants, or agentic AI solutions.
Familiarity with AI governance frameworks, Responsible AI principles, NIST AI RMF, ISO 42001, or similar standards.
Relevant certifications such as CISSP, CISM, Security+, CCSP, GSEC, Azure Security Engineer, or equivalent.

Responsibilities

Drive cybersecurity transformation initiatives that improve efficiency, governance, automation, and risk reduction.
Analyze cybersecurity processes, identify bottlenecks, and implement improvements to streamline workflows and reduce cycle times.
Establish and enhance operational processes, controls, governance mechanisms, and reporting frameworks across cybersecurity functions.
Support continuous improvement by using data, automation, and industry best practices.
Support implementation and adoption of enterprise security architecture principles and security-by-design practices.
Contribute to the development and enhancement of security frameworks, standards, reference architectures, and architectural controls.
Support adoption and optimization of application security tools and secure coding practices.
Track and improve security tool utilization, coverage, and effectiveness across engineering teams.
Partner with stakeholders on remediation arising from code scanning, container security, and application security assessments.
Identify opportunities to use Generative AI, intelligent agents, machine learning, and workflow automation to streamline cybersecurity processes.
Contribute to AI-powered analytics, dashboards, predictive insights, and decision-support capabilities.
Evaluate emerging AI, Security Copilot, autonomous agent, and intelligent automation technologies for cybersecurity use cases.
Support AI governance activities, Responsible AI principles, and AI security risk management practices.