AI Governance Specialist

2 weeks ago

Bengaluru, Karnataka, India Tekskills Inc. Full time

Job Title: AI Governance Specialist

Location: Bangalore ( Hybrid Working )

Job Title:

Position Summary:

We are looking for a seasoned AI Governance professional with proven experience in leading and managing enterprise-wide AI governance frameworks. This individual will be responsible for defining, implementing, and overseeing governance policies that ensure ethical, compliant, and responsible use of AI across the organization. The ideal candidate will drive the strategy to align AI initiatives with internal standards, regulatory requirements, and societal expectations.

Key Responsibilities:

AI Policy & Framework Development:

  • Implement organizational AI governance policies and risk management frameworks.
  • Align internal governance practices with global standards and regulations (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001).
  • Collaborate with legal, compliance, data science, and product teams to ensure AI systems meet ethical and regulatory requirements.

Risk Assessment & Compliance:

  • Conduct AI risk and impact assessments across the model lifecycle.
  • Monitor compliance with emerging AI regulations, data privacy laws (e.g., GDPR), and sector-specific requirements.
  • Identify and escalate potential ethical, legal, or reputational risks.

Ethical AI & Responsible Innovation:

  • Promote fairness, transparency, accountability, explainability, and human oversight in AI/ML systems.
  • Support initiatives for bias detection, algorithmic accountability, and model interpretability.

Governance Operations & Tooling:

  • Work with cross-functional teams to embed governance controls into MLOps and AI development pipelines.
  • Evaluate or develop tools to support model documentation (e.g., model cards, datasheets), audit trails, and explainability.

Stakeholder Engagement & Training:

  • Act as a subject-matter expert on AI governance for internal and external stakeholders.
  • Design and deliver training programs on responsible AI practices for technical and business teams.

Qualifications:

Education:

  • Bachelor's or Master's degree in Law, Computer Science, Data Science, Ethics, Public Policy, or a related field.
  • Additional certifications (e.g., in AI Ethics, Data Protection, Risk Management) are a plus.

Experience:

  • 9-12 years of experience in AI/ML, risk management, regulatory compliance, or corporate governance.
  • Experience with responsible AI frameworks, audit processes, or regulatory readiness preferred.

Skills:

  • Deep understanding of AI/ML technologies and their societal and organizational impacts.
  • Experience working in regulated industries (e.g., finance, healthcare, energy).
  • Knowledge of cybersecurity, data governance, or digital ethics.
  • Strong analytical, communication, and stakeholder management skills.
  • Ability to navigate ambiguity and influence cross-functional teams in a fast-paced environment

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