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AI Risk Management Analyst
2 months ago
Location: Prefer NY, but remote ok in EST time zone
Position Summary:
Glow Networks is looking for a seasoned AI Business Analyst to evaluate and draft comprehensive business requirement documents (BRD) aimed at developing a centralized Enterprise AI Risk Management System. This system is designed to comply with AI regulatory standards and internal governance protocols. The platform will encompass various functionalities, including AI inventory oversight and risk management throughout the entire lifecycle—spanning initiation, development, validation, deployment, monitoring, change management, and retirement. The objective is to ensure that our AI development and utilization adhere to ethical guidelines.
Key Responsibilities:
- Perform in-depth gap analyses and propose scalable solutions by effectively utilizing existing resources, including platforms, systems, and subject matter experts, while minimizing redundancy.
- Lead and manage individual work streams related to Responsible AI development and usage on a global scale, collaborating with cross-functional teams to ensure that regulatory and internal governance requirements are clearly articulated, aligned, and documented.
- Ensure that system functionalities, including GUI design and governance logic flows—such as request submission, review, approval, post-launch monitoring, and issue escalation—are accurately represented in the BRD. Collaborate closely with engineering and product teams to guarantee timely delivery.
- Conduct testing during and after system development to confirm that all functionalities are well-integrated and operate as intended. Document all testing outcomes, critical stakeholder decisions, and the rationale behind them.
- Communicate any bugs or potential design/scalability issues identified during development and testing phases promptly to all relevant stakeholders, assisting engineers and product managers in timely resolutions.
- Proactively manage the project to ensure timely delivery and play a crucial role in its success.
Qualifications:
- A graduate degree (bachelor's or master's) in a relevant field such as business, management, or information systems.
- Extensive experience as a technical writer with a proven history in large-scale system development.
- Strong understanding of machine learning features/data and AI/model lifecycle risk management.
- Stay updated on the latest advancements in Generative AI and regulatory changes, translating them into actionable insights for the client.
- Exceptional communication skills to effectively convey business objectives, challenges, findings, and solutions to both technical and non-technical audiences.
- Demonstrate a proactive approach and ownership mindset, delivering outstanding results both independently and within a team.
- A motivated learner with the ability to research, understand, and apply advanced technical and non-technical skills related to AI/models.
- Capable of building strong relationships with both internal and external stakeholders to ensure effective engagement.