AI Governance Lead

Persistent Systems Limited; Pune District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work

Flexible hours

Long service awards

Insurance coverage

Job summary

Persistent Systems Limited is seeking an experienced Data & AI Governance Lead/Architect to design and implement our data and AI governance frameworks, operating model, and governance roadmap across all Persistent locations. You will work with governance, risk, and compliance teams to ensure data control, regulatory alignment, and business value.

You will lead the establishment of standards for metadata, data quality, AI model governance, and Responsible AI practices, while driving adoption and

Qualifications

• Define and implement Data Governance framework, charter, operating model, and stakeholder RACI.
• Establish governance standards for metadata, glossary, stewardship, classification, access, Data Quality and policy compliance.
• Align governance with regulatory and privacy requirements, including DPDP readiness.
• Lead DG tool assessment, selection support, onboarding, and implementation oversight.
• Onboard 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 roadmaps.

Responsibilities

• 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.

Skills

Data governance

AI governance

Stakeholder management

Regulatory compliance

AI risk management

Cloud and lakehouse

Generative AI concepts

Model governance

Ethical AI

Tools

Collibra

Microsoft Purview

Alation

Informatica

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

We are seeking an experienced Data & AI Governance Lead/Architect 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 etc
• 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
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization 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

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