IT Governance & Security Architect

Key Responsibilities

• Define and implement enterprise-wide AI governance frameworks for responsible, ethical, and compliant AI use in financial operations.
• Develop and enforce AI security standards aligned with regulatory requirements (e.g., FFIEC, OCC, GLBA, GDPR, ISO 42001, NIST AI RMF).
• Partner with risk, compliance, and legal teams to create policies for AI model lifecycle management, bias detection, explainability, and auditability.
• Oversee secure AI/ML deployment in on-premises and cloud environments (AWS, Azure, GCP).
• Conduct AI security risk assessments, threat modeling, and red team testing for generative AI and predictive models.
• Establish monitoring frameworks for AI systems to track drift, anomalies, and adversarial threats.
• Provide architectural guidance on integrating AI platforms with existing banking systems (ACH, RTP, Wires, Core Banking, Payment Hubs).
• Lead AI security incident response and ensure remediation processes meet regulatory standards.
• Serve as a subject matter expert on AI governance, regulatory compliance, and ethical AI adoption.
• Mentor junior architects and engineers in AI governance and cybersecurity best practices.

Required Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related field, and at least 7 years of professional experience in enterprise architecture, information security, or technology governance in financial services (or equivalent combination of education and work experience).
• Proven track record of implementing governance frameworks, risk management strategies, and compliance programs for emerging technologies.
• Familiarity with financial services regulations and security requirements.
• Experience collaborating with auditors, regulators, and compliance teams.
• Strong understanding of AI/ML lifecycle management (model development, validation, deployment, monitoring).
• Knowledge of data governance principles, MDM (Golden Record, Canonical Models), and regulatory compliance in financial services.
• Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, GCP Vertex).
• Familiarity with security frameworks (NIST, ISO 27001/42001, CIS Controls).
• Ability to translate complex AI and security concepts into business-friendly language.

Preferred Qualifications

• Master’s degree in Information Security, Artificial Intelligence, or related discipline.
• At least 10 years of experience in financial services or regulated industries.
• Demonstrated leadership in AI governance, cybersecurity, or enterprise architecture initiatives.
• Certifications such as CISSP, CISM, ISO 42001 Lead Auditor, or Certified AI Governance Professional.
• Experience presenting to executive leadership and regulators.
• Hands-on experience with AI observability tools (e.g., Fiddler, Arize, MLflow).
• Familiarity with secure federated learning, differential privacy, and adversarial ML defenses.
• Experience leading cross-functional AI security initiatives in regulated industries.
• Advanced knowledge of cryptography, data anonymization, and AI-driven fraud detection techniques.