Senior Assistant Vice President- AI Governance Specialist

12 - 14 years

0 Lacs

Posted:6 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsible

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

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