Compliance Analyst AI Governance

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The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together AlphaSense and Tegus will accelerate growth innovation and content expansion with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6000 enterprise customers including a majority of the S&P 500. Founded in 2011 AlphaSense is headquartered in New York City with more than 2000 employees across the globe and offices in the U.S. U.K. Finland India Singapore Canada and Ireland. Come join us!

The AI Governance Analyst is central to building and operating AlphaSenses 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.

• 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.

• IAPP AIGP certified with a strong knowledge of the AI governance landscape and the major frameworks shaping it.
• 24 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.

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