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Responsibilities
- Architect and lead the implementation of AI-powered solutions to automate GRC workflows, including risk assessments, control monitoring, evidence collection, and policy management.
- Serve as the technical voice for AI adoption within the Cyber Security GRC program, defining strategy and roadmap for integrating AI/ML tools across compliance, risk management, and audit functions.
- Lead and coordinate complex, high-visibility audit engagements, ensuring stakeholder readiness and timely remediation of findings — leveraging AI tools to streamline evidence gathering and reporting.
- Drive the development of intelligent dashboards, risk signal automation, and natural language processing (NLP) tools to improve GRC transparency and decision-making for leadership.
- Identify opportunities to reduce manual, repetitive GRC processes through automation and AI augmentation, and champion the adoption of these improvements across the team.
- Partner with Engineering, Product, Legal, and Compliance teams to evaluate AI risk, including the governance of AI/ML models used within FICO products, ensuring alignment with applicable regulations and internal policies.
- Respond to and lead the resolution of complex governance, risk, and compliance inquiries from internal and external stakeholders, including customers and regulators.
- Develop and maintain GRC frameworks and standards aligned to PCI DSS, SOC 2, ISO 27001, ISO 42001, NIST CSF, NIST AI RMF, and emerging AI-specific regulatory requirements (e.g., EU AI Act, NIST AI 600-1).
- Mentor and coach junior and mid-level GRC team members on AI tools, automation techniques, and program best practices to accelerate team capability maturity.
- Act as a subject matter expert and thought leader, representing the GRC team in cross-functional AI governance discussions, customer calls, and industry forums.
- Assist Corporate Compliance and business units with compliance and security-related documentation, and provide expert guidance on GRC matters across the organization.
Requirements
- Extensive experience in Cyber Security, with in-depth experience focused on GRC.
- Demonstrated experience designing, implementing, or operationalizing AI/ML solutions within a cyber security or GRC context.
- Deep knowledge of GRC industry frameworks and standards, including PCI DSS, SOC 2, ISO 27001, ISO 42001, CSA, NIST CSF, and the NIST AI Risk Management Framework.
- Experience with AI governance frameworks and emerging regulations, including the EU AI Act and NIST AI 600-1 (Generative AI).
- Experience using or evaluating GRC platforms (e.g., ServiceNow GRC, Archer, OneTrust) and integrating AI/automation capabilities into these tools.
- Proficiency in data analysis, scripting, or programming (e.g., Python) to support automation and AI integration efforts.
- Experience with large language models (LLMs), prompt engineering, or AI-assisted tools applied to compliance, risk, or audit workflows is highly desirable.
- Ability to translate complex technical and AI concepts into clear business language for executive and non-technical audiences.
- Proven ability to lead cross-functional initiatives, manage multiple high-priority projects concurrently, and deliver results in a fast-paced, evolving environment.
- Desired certifications: CISSP, CISA, CISM, CRISC; AI-related certifications (e.g., AWS/Azure/GCP AI certifications, AIGP) are a strong plus.
- Excellent written and verbal communication skills, with demonstrated ability to build trust and productive relationships across business functions and with external partners.
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