Cyber Strategy, Risk & Compliance - AI Engineering for Cybersecurity - Senior Manager

Overview At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escape. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high‑performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our firm. Responsibilities Lead and manage strategy, transformation and engineering projects and teams. Design and architect AI‑enabled solutions and transformations for cybersecurity organisations and functions. Innovate and enhance processes by integrating AI and machine‑learning capabilities. Engage with clients at senior levels to drive success and provide strategic guidance. Design and implement enterprise‑wide cyber‑risk governance frameworks. Develop thorough business risk scenarios and create AI‑powered cyber threat models. Provide industry‑leading practices in AI‑driven cyber‑risk management. Architect agentic automations to scale cybersecurity capabilities. What You Must Have Bachelor’s Degree. At least 7 years of experience in software development and/or AI/ML engineering. What Sets You Apart Master’s Degree in software development, AI/ML engineering, or another relevant technical field preferred. A minimum of 5 years of team management experience. A minimum of 1 year of experience in designing and implementing agentic and/or generative AI systems. Demonstrated knowledge of AI services in AWS or GCP, especially Google Vertex AI SDK and Amazon Bedrock/AWS Boto3. Knowledge of Python and leading AI frameworks (e.g., LangChain). Professional certifications such as CISSP, CISM, or CRISC, Google AI Professional Certificate, AWS Certified AI Practitioner, Solution Architect‑type certificates from AWS and/or Google, AWS Certified Security – Specialty, AWS Certified Generative AI Developer – Professional, AWS Security Engineer. Experience in designing and implementing enterprise‑wide cyber‑risk management controls. Technology sales enablement experience, especially cybersecurity solutions. Travel Requirements Up to 60% travel. Salary and Benefits The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more. Equal Employment Opportunity As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex (including pregnancy, sexual orientation, and gender identity), age, disability, genetic information (including family medical history), veteran, marital, or citizenship status, or any other status protected by law. PwC does not intend to hire experienced or entry‑level job seekers who will need, now or in the future, PwC sponsorship through the H‑1B lottery, except as set forth within the following policy. #J-18808-Ljbffr