
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Bengaluru, India"), this listing's salary midpoint is about 90% lower. The offer sits below the benchmark range (€9,260–€13,890). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Bengaluru, India | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €1,158/per month | €1,158/per month | €1,158/per month |
About the Role: The AI Governance Analyst is central to building and operating AlphaSense’s AI governance program, helping ensure that the way we deploy, build, and procure AI systems is well-governed, well-documented, and defensible to regulators, auditors, and enterprise clients. Sitting within the Strategic Risk team, this role owns the day-to-day execution of AI risk assessments — intake, classification, evaluation, and documentation — that keep the program running at scale. As AlphaSense matures its governance infrastructure, including the rollout of a dedicated GRC platform to automate assessment workflows, this role acts as the operational backbone of the program: turning frameworks such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001 into repeatable, auditable processes that grow with the business. This is a risk and governance role — not a hands-on AI engineering role — well-suited to someone who understands how AI systems create risk and knows how to manage it. 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. - Leverage 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 frameworks such as 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 so nothing slips through. Who You Are: - IAPP AIGP certified with a strong knowledge of the AI governance landscape and the major frameworks shaping it. - 2–4 years of experience in risk management, GRC, compliance, audit, or data privacy, with exposure to AI governance, technology risk, or third-party risk. - Familiar with the EU AI Act, NIST AI RMF, ISO/IEC 42001, and ISO/IEC 27001, and able to apply their requirements to real use cases rather than just cite them. - Comfortable working with GRC or governance tooling — configuring workflows, managing inventories, and generating reporting — and quick to learn new platforms. - AI-literate without being a developer: able to understand at a conceptual level how AI and ML systems work, the risks they introduce (bias, hallucination, data leakage, model drift, and similar), and how to translate that into governance language. - Highly organized and detail-oriented, capable of managing a high volume of assessments, inventory records, and deadlines at once without sacrificing quality. - A strong written and verbal communicator who can turn technical and regulatory complexity into clear assessments, summaries, and stakeholder-ready documentation in English. - A collaborative, self-directed partner who is comfortable with ambiguity and evolving priorities in a function that is being built from the ground up. - Organized, reliable, and able to manage multiple requests, track deadlines, and stay composed while handling a steady volume of work.
Job Details
Responsibilities
- Complete AI risk assessments using established templates and criteria
- Maintain the AI system inventory including records of AI/ML systems, vendors, and use cases
- Use AI governance platforms to enter data and organize supporting evidence
- Map use cases against frameworks like EU AI Act, NIST AI RMF, and ISO/IEC 42001
- Coordinate with engineering, product, security, legal, privacy, and procurement teams
- Assist with third-party and vendor AI risk reviews
- Draft summaries and notes from completed assessments
- Track assessment status and follow-ups
Requirements
- 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 EU AI Act, NIST AI RMF, ISO/IEC 42001, and ISO/IEC 27001
- Ability to apply regulatory requirements to real use cases
- Experience with GRC or governance tooling
- Conceptual understanding of AI/ML systems and associated risks (bias, hallucination, data leakage, model drift)
- Strong written and verbal communication skills in English
- Highly organized and detail-oriented
Skills & Technologies

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