Senior Assistant Vice President

Responsible

and

Secure AI Governance Specialist

Responsibilities

• Develop, implement, and maintain AI governance policies, standards, and best practices tailored for ITES environments
• Conduct AI risk assessments focused on model bias, fairness, security vulnerabilities, and compliance with data privacy laws (GDPR, HIPAA, etc.).
• Collaborate cross-functionally to embed security and ethical considerations into the AI/ML lifecycle, including data acquisition, model development, testing, deployment, and monitoring.
• Design and oversee continuous AI model monitoring processes to detect anomalies, bias, data drift, and security threats.
• Support incident response planning for AI-related security breaches or compliance issues.
• Provide training and awareness sessions on AI governance, ethics, and security best practices for internal teams.
• Stay current with AI governance frameworks, regulations, and emerging risks; advise leadership on necessary policy updates and strategic initiatives.
• Work with Technology and cloud teams to ensure AI systems align with organizational cybersecurity and data protection policies
• Prepare reports and dashboards for leadership to highlight AI governance metrics and compliance status.
• Research on AI regulations and ensure program alignment
  

Subject Matter Expertise

• Proficiency in data privacy and cybersecurity best practices related to AI systems
• Experience with cloud AI platforms (AWS SageMaker, Azure AI, Google AI).
• Familiarity with AI ethics frameworks (e.g., NIST AI RMF, OECD AI Principles, EU AI Act)
• Knowledge of programming languages used in AI/ML (Python, R)
• Knowledge of AI governance platforms (e.g. Credo.ai, IBM's AI Fairness 360, Priva Sapien) and Certifications such as CISSP, CDPSE, or AI Governance-related credentials are a plus
• Strong understanding of AI/ML technologies and development lifecycleKnowledge of regulatory frameworks impacting AI and data (e.g., GDPR, HIPAA, CCPA)
• Hands-on experience with AI monitoring tools or platforms that support model auditing and anomaly detection
• Familiarity with AI fairness, bias mitigation, explainability, and robustness assessment techniques
  

Thought Leadership

• Provide thought leadership to fellow team members across business and technical project dimensions solving complex business requirements.
• Demonstrate forward thinking around where the organization is going and how technology can support these efforts.
• Advocate and define security architecture vision from a strategic perspective, including internal and external platforms, tools and systems.
  

Cross-Functional And Collaboration

• Drive scope definition, requirements analysis, functional and technical design, product configuration, and production deployment
• Ensure delivered solutions meet/perform to technical and functional/non-functional requirements.
• Provide technical expertise and ownership in the diagnosis and resolution of an issue, including the determination and provision of workaround solution or escalation to service owners.
• Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk.
• Provide support and technical governance, expertise related to cloud architectures, deployment, and operations.
  

Mentoring

• Act as the coach and mentor to team members and technical staff on their assigned project tasks.
• Lead the definition and development of cloud reference architecture and management systems.
• Conduct project reviews with team members.
  

Requisites

• Bachelor's degree in computer science, computer engineering, information technology, or relevant field.
• Overall experience 12+ years with proven experience (3+ years) in AI governance, AI risk management, or AI security, preferably in ITES or technology-driven environments
• Positive attitude and a strong commitment to delivering quality work.
• Effective communication skills (written and verbal) to properly articulate complicated cloud architecture, reports to management.
• Excellent analytical, problem-solving, and communication skills