AI Risk & Governance Analyst — Lead Data Insights

Shree Narayani Networking Solutions Pvt Ltd

Delaware

Vor Ort

USD 91.000 - 129.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Shree Narayani Networking Solutions Pvt Ltd is seeking a Senior AI/Risk Analyst to analyze data across platforms, identify AI-related risks, and recommend enforcement measures to block or remediate issues. The role emphasizes turning complex data into clear, actionable insights and communicating the rationale to both technical and non-technical stakeholders.

The ideal candidate will consolidate data sources, derive risk-focused recommendations, and present executive-ready narratives.

Qualifikationen

  • 3–5 years of experience in an analyst role.
  • Advanced proficiency in Excel (pivot tables, lookups, formulas, data modeling).
  • Strong ability to derive insights and recommendations from data.
  • Excellent written and verbal communication, with the ability to explain risk and why clearly.
  • Strong PowerPoint skills, including storytelling and narrative development.

Aufgaben

  • Consolidate and analyze data from multiple platforms to build a unified view of AI usage and risk.
  • Pull insights from the data and translate them into actionable recommendations.
  • Identify AI-related risks and recommend enforcement mechanisms (blocking, remediation, or other controls).
  • Clearly articulate risk and the rationale behind required actions to technical and non-technical stakeholders.
  • Draft compelling narratives and executive-ready presentations in PowerPoint.
  • Document requirements and manage work in a task board (e.g., Jira), tracking progress and surfacing blockers early for senior team action.

Kenntnisse

Data analysis
Advanced Excel
Communication
PowerPoint storytelling

Tools

Jira

Jobbeschreibung

Shree Narayani Networking Solutions Pvt Ltd is seeking a Senior AI/Risk Analyst to analyze data across platforms, identify AI-related risks, and recommend enforcement measures to block or remediate issues. The role emphasizes turning complex data into clear, actionable insights and communicating the rationale to both technical and non-technical stakeholders.

The ideal candidate will consolidate data sources, derive risk-focused recommendations, and present executive-ready narratives.

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