PROJECT MANAGER – AI DATA ASSURANCE

Vrinda International

Bengaluru, Pune District, Hyderabad, Chennai District

On-site

INR 3,800,000 - 6,000,000

Full time

14 days+
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Job summary

Vrinda International is hiring a Project Manager to lead end-to-end AI Data Assurance initiatives, ensuring trusted, high-quality AI-ready data foundations. The role focuses on governance, quality metrics, and cross-functional collaboration in AI/ML environments.

With 8+ years of experience, you will drive delivery, manage scope and budgets, mentor teams, and enable automation and continuous improvement across data assurance programs. This is a full-time opportunity based in India.

Qualifications

  • Experience in AI Data Assurance and Quality Governance.
  • Proficiency in Prompt Engineering and Retrieval Assurance.
  • Leadership experience in data quality, analytics testing, and AI/ML environments.

Responsibilities

  • Lead end-to-end AI Data Assurance & Quality Engineering programs.
  • Manage project scope, timelines, budgets, risks, dependencies & resources.
  • Drive delivery governance, quality metrics & executive reporting.
  • Define quality strategies, testing frameworks, release readiness & quality gates.
  • Collaborate with Business, Data Engineering, Architecture & AI/ML teams.
  • Lead and mentor Quality Engineering & AI Data Assurance teams.
  • Drive automation, AI-assisted testing & continuous improvement.
  • Manage workforce planning, hiring, onboarding & capability development.
  • Support client pursuits, solutioning, proposals & estimations.
  • Contribute to practice growth, innovation, workshops & thought leadership.

Skills

AI Data Assurance
Quality Governance
Prompt Engineering
Retrieval Assurance

Job description

Bangalore | Pune | Hyderabad | Chennai, India | Posted on 08/13/2026

  • Country India
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Job Description
HIRING | PROJECT MANAGER – AI DATA ASSURANCE

Experience: 8+ Years

domain: AI Data Assurance | GenAI | Data Quality | Analytics Testing

We are looking for an experienced Project Manager to lead end-to-end delivery of AI Data Assurance initiatives, ensuring trusted, high-quality and AI-ready data foundations.

Key Responsibilities
  • Lead end-to-end AI Data Assurance & Quality Engineering programs
  • Manage project scope, timelines, budgets, risks, dependencies & resources
  • Drive delivery governance, quality metrics & executive reporting
  • Define quality strategies, testing frameworks, release readiness & quality gates
  • Collaborate with Business, Data Engineering, Architecture & AI/ML teams
  • Lead and mentor Quality Engineering & AI Data Assurance teams
  • Drive automation, AI-assisted testing & continuous improvement
  • Manage workforce planning, hiring, onboarding & capability development
  • Support client pursuits, solutioning, proposals & estimations
  • Contribute to practice growth, innovation, workshops & thought leadership
Requirements
Must-Have Skills
  • AI Data Assurance & Quality Governance
  • Prompt Engineering & Retrieval Assurance
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