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AI Governance Lead

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Onsite

AI Governance Lead

Persistent

AI Governance Lead

Skills

Data ScienceData AnalysisMachine LearningAIChange ManagementComplianceRisk Management

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

3 September 2026

What they need


About Position:

We are seeking an experienced Data & AI Governance Lead/Architect Lead who will design and implementation of the organization's Data Governance and AI governance framework, operating model, and governance roadmap to improve data control, accountability, compliance, and business value.

  • Role: Data & AI Governance Lead/Architect
  • Location: All Persistent Locations
  • Experience: 10+yrs
  • Job Type: Full-Time Employment

What You'll Do:

  • Define and implement the Data Governance framework, charter, operating model, and stakeholder RACI.
  • Establish governance standards for metadata, business glossary, stewardship, classification, access, Data Quality and policy compliance.
  • Align governance practices with regulatory and privacy requirements, including DPDP readiness.
  • Lead DG tool assessment, selection support, onboarding, and implementation oversight.
  • Drive onboarding of data owners and data stewards across business and technology teams.
  • Define governance KPIs, control metrics, audit mechanisms, and continuous improvement plans.
  • Conduct governance assessments and translate findings into phased implementation roadmaps.
  • Run governance committees, stakeholder reviews, awareness sessions, and change management activities.
  • Define and implement enterprise AI Governance policies, standards, controls, and operating procedures aligned with Responsible AI principles.
  • Establish governance practices for AI/ML models, Generative AI applications, training data, prompts, model outputs, and AI lifecycle management.
  • Develop AI risk management frameworks covering bias, fairness, explainability, accountability, transparency, privacy, security, and ethical AI usage.
  • Collaborate with Data Science, Technology, Security, Legal, Compliance, and Risk teams to establish AI governance operating models and control frameworks.
  • Define standards for AI model inventory, model documentation, approval workflows, monitoring, validation, and periodic review processes.
  • Establish governance controls for AI training datasets, synthetic data usage, data lineage, data provenance, and model traceability.

Expertise You'll Bring:

  • Strong knowledge of enterprise Data Governance frameworks, operating models, and controls.
  • Experience with metadata management, business glossary, lineage, stewardship, and policy management.
  • Understanding of data privacy, compliance, and access governance concepts.
  • Strong stakeholder management, workshop facilitation, and documentation skills.
  • Ability to define governance metrics, implementation plans, and target operating models.
  • Strong understanding of AI Governance, Responsible AI, AI Risk Management, and AI compliance frameworks.
  • Knowledge of AI/ML lifecycle management, Generative AI concepts, Large Language Models (LLMs), and model governance practices.
  • Experience defining governance controls for AI models, training data, model monitoring, explainability, and validation processes.
  • Understanding of ethical AI principles including fairness, accountability, transparency, bias mitigation, and human oversight.
  • Familiarity with AI governance standards and frameworks such as NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OECD AI Principles, and emerging AI regulations.
  • Understanding of AI security, privacy, model risk, prompt governance, and AI-related compliance requirements.
  • Experience leading enterprise DG programs across multiple business domains.
  • Exposure to DG and DQ platforms such as Collibra, securiti.ai , Microsoft Purview, Alation, Informatica, or similar tools.
  • Experience establishing or supporting AI Governance, Responsible AI, or Model Risk Management initiatives.
  • Experience governing AI/ML, Advanced Analytics, or Generative AI solutions in enterprise environments.
  • Experience working with legal, risk, security, and business leadership teams.
  • Familiarity with modern cloud and lakehouse environments.
  • Familiarity with data privacy regulations like GDPR, DPDPA, CCPA, HIPAA

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalisation for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

Let's unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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