Manasa Rao
Privacy and Responsible AI Leader | CIPM | Ex-Target & Amazon
- Role
- Responsible Ai Advisor at Accenture
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Manasa Rao
Privacy | Responsible AI | Compliance Leader | Risk Strategist | 10+ Years in Global Regulatory GovernanceWith a decade of experience in risk, regulatory compliance, and governance—primarily in the global retail sector—I’ve built a strong foundation in understanding laws, designing SOPs, and developing scalable compliance processes that meet diverse global standards.Over the years, I’ve led the creation and execution of end-to-end compliance management systems, conducted third-party vendor risk assessments, managed audits, and implemented tools like OneTrust and Archer to operationalize compliance. My work has consistently focused on making complex legal frameworks actionable for business teams.Currently, I’m focused on the evolving fields of Privacy and Responsible AI, where I lead due diligence efforts for onboarding vendors and consult internal business units on privacy-by-design principles. I perform deep-dive risk assessments of AI models, ensuring our systems align with emerging US regulations and global AI ethics frameworks.My work sits at the intersection of law, technology, and risk—helping organizations navigate the fine balance between innovation and accountability.Key Skills• Privacy & Responsible AI Compliance• Third-Party Risk Management• Regulatory Interpretation & SOP Development• Compliance Management Systems• OneTrust, Archer, Data Analytics & Dashboards• Stakeholder Engagement & People Leadership• Cross-functional Consulting for Retail & Tech
Experience
Responsible Ai Advisor
Jan 2026 — Present · Bengaluru, IN
Responsible AI Principles & Enterprise DesignDefining and operationalizing Responsible AI principles with privacy-by-design and accountability at the core, translating them into end-to-end AI lifecycle requirements that enable ethical, compliant, and scalable AI adoption across industriesAI Lifecycle Governance, Privacy & Risk ManagementDesigning and embedding Responsible AI and privacy controls across the AI lifecycle—from use-case intake, data sourcing, DPIA-aligned risk assessments, model development and validation to deployment and post-deployment monitoring—addressing bias, fairness, transparency, explainability, data minimization, security, and human oversightGenerative AI Governance & Data Protection ControlsEstablishing enterprise Generative AI governance through industry-agnostic standards, data protection guardrails, use-case classification, approval workflows, monitoring mechanisms, and mitigation strategies to prevent data leakage, misuse, and non-compliant outputsRegulatory Translation & Industry-Neutral Compliance EnablementInterpreting global AI and data protection regulations (e.g, EU AI Act, GDPR, NIST AI RMF, OECD principles) and converting regulatory expectations into practical, industry-neutral governance standards, documentation, and audit-defensible controlsEnterprise Enablement & Stakeholder LeadershipDriving Responsible AI and privacy adoption enterprise-wide by partnering with Data & AI, Legal, Privacy, Compliance, Security, and Technology teams, influencing senior stakeholders, and embedding Responsible AI and privacy requirements into decision-making and operating processes
Education
City Engineering College
Bachelor of Engineering (BE), Electronic and Communications Engineering
2011 — 2015
Skills
- Microsoft Word
- Team Leadership
- Digital Electronics
- Creative Writing
- Public Speaking
- Powerpoint
- Robotics
- Communication
- Project Planning
- Employee Relations
- Microsoft Office
- Eagle Pcb
- Management
- Windows
- Business Analysis
- Leadership
- Customer Service
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