Compliance Analyst - AI Governance

Overview

AlphaSense is hiring a Compliance Analyst for AI Governance within the Strategic Risk team. The role runs day-to-day AI risk assessments and keeps the AI governance program operating at scale. It is a risk and governance role, not a hands-on AI engineering role.

What you'll do

• Complete AI risk assessments using established templates and criteria, gathering details on AI use cases, working through classification and control questions, and preparing draft assessments for senior review.
• Maintain the accuracy of the AI system inventory by adding and updating records of AI/ML systems, vendors, and use cases.
• Use the AI governance platform to enter assessment data, follow set workflows, and organize supporting evidence and documentation.
• Gather the information and evidence needed to map use cases against the EU AI Act, NIST AI RMF, and ISO/IEC 42001, with guidance on interpretation from senior team members.
• Coordinate with engineering, product, security, legal and privacy, and procurement contacts to collect the details needed for assessments, and flag open questions for review.
• Assist with third-party and vendor AI risk reviews by collecting vendor documentation and completing initial reviews for senior validation.
• Draft clear, well-organized summaries and notes from completed assessments, and flag higher-risk or unclear items to senior reviewers.
• Track the status of assessments and follow-ups, keeping records and trackers up to date.

What you'll need

• IAPP AIGP certification.
• 2–4 years of experience in risk management, GRC, compliance, audit, or data privacy.
• Exposure to AI governance, technology risk, or third-party risk.
• Familiarity with the EU AI Act, NIST AI RMF, ISO/IEC 42001, and ISO/IEC 27001, and the ability to apply their requirements to real use cases.
• Comfort working with GRC or governance tooling, including configuring workflows, managing inventories, and generating reporting, and quick to learn new platforms.
• AI literacy without being a developer: a conceptual understanding of how AI and ML systems work and the risks they introduce (bias, hallucination, data leakage, model drift, and similar).
• Highly organized and detail-oriented, able to manage a high volume of assessments, inventory records, and deadlines at once.
• Strong written and verbal communication in English, able to turn technical and regulatory complexity into clear assessments, summaries, and stakeholder-ready documentation.
• A collaborative, self-directed approach, comfortable with ambiguity and evolving priorities.
• Organized and reliable, able to manage multiple requests, track deadlines, and stay composed under a steady workload.

Details

• Location: Bengaluru.