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Data Governance Manager

Data Governance Manager

InfoCepts

8 years

0 Lacs

Bengaluru Karnataka India

Posted:2 days ago| Platform:

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Skills Required

data governance ai support development learning risk management regulations nist compliance assessment model transparency ml controls documentation audit engagement design training ethics certifications finance healthcare cybersecurity communication

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: AI Governance Specialist

Position Summary:

AI Governance Specialist

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:

4–8 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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