Senior Lead Cloud Security Architect

Compensation: base salary in the range of $ - $, with potential eligibility for additional incentive compensation.

The Senior Lead Cybersecurity Architect is responsible for defining the principles, standards, and design patterns to build secure products and enterprise tools for Cox Automotive’s multi‑cloud and on‑premises environments. The focus is on securing multi‑cloud infrastructure and services as well as on‑premises infrastructure.

• Identify and recommend relevant cybersecurity policies, standards, procedures, and guardrails.
• Drive the definition of cybersecurity guidelines across the product and enterprise architecture group by leading working groups focused on cybersecurity.
• Develop secure design patterns in conjunction with the product and enterprise architecture group based on standards that can be adopted and implemented by engineering teams.
• Contribute to the development of non‑cyber architecture‑related governance patterns, policies, and standards.
• Provide complex analysis of potential risks to information systems’ security and recommend innovative solutions.
• Work with cross‑functional technical, development and delivery teams to ensure the application of smooth, efficient and scalable release processes.
• Engage with business teams and engineering teams to define cybersecurity guardrails that promote efficient and seamless adoption of secure design patterns.
• Participate in security events and incident response to identify gaps in current design and propose solutions to prevent threats from reoccurring.
• Research and evaluate emerging security trends, threats, and technologies, and recommend appropriate solutions and enhancements.
• Collaborate with data users, software and other technical stakeholders to ensure security considerations are factored into and underpin development and operational decision making.
• Collaborate with cybersecurity peers to incorporate vulnerability management, governance, risk and compliance, cyber defense, continuous controls monitoring, and identity governance into cybersecurity standards as a cohesive cybersecurity organization.

• Minimum qualifications include a bachelor’s degree in a related discipline and at least 8 years of experience, or equivalent combinations (e.g., master’s degree and 6 years, Ph.D. and 3 years, or 12 years of experience).
• At least 4 years of focused cybersecurity experience.
• Practical expertise in AWS cloud infrastructure and services as well as on‑premises infrastructure.
• Ability to clearly articulate the objectives of specific cybersecurity policies and procedures to technical and non‑technical stakeholders.
• Excellent customer service, writing, and executive‑presentation skills.
• Capability to develop a strong and productive working environment with key stakeholders and collaborate closely with other Cox entities’ cybersecurity teams.
• Consultative nature to work through controversial or complex topics with employees, leaders, and senior leadership.
• Skill in evaluating risks and recommending actions based on impact and likelihood to the business.
• Knowledge of current cybersecurity and technology architectures such as zero trust, IaaS, PaaS, SaaS, virtualization, and containerization.
• Ability to creatively solve complex cybersecurity challenges while exhibiting solid, pragmatic business acumen.
• Experience utilizing Agile methodologies.
• Experience initiating change and deploying solutions in Fortune 1,000 companies.
• Knowledge of cybersecurity frameworks (e.g., ISO 27000, NIST, FFIEC) and industry‑relevant regulations that guide architectural requirements (e.g., GDPR, FFIEC, GLBA).
• Ability to collaborate with AI agents to create, validate, and assess architectural artifacts; lead cross‑functional teams in designing AI‑enhanced solutions; establish standards for AI integration; assess AI technologies within solution architectures; implement AI‑driven architectural governance and compliance by defining robust AI governance frameworks and reference architectures; improve vendor tool assessments using AI to speed evaluations and minimize mistakes and unknowns.
• Proficiency in Python, .NET, Java, Spring frameworks, Oracle, serverless,…