AI Risk Management Analyst

2 weeks ago


Budd Lake, New Jersey, United States Glow Networks Full time
Job Overview

Location: Remote options available within EST time zone

Position Summary:

We are looking for a seasoned AI Risk Management Analyst to evaluate and draft business requirement documents (BRD) that will assist in the development of a centralized Enterprise AI Risk Management System. This System is designed to fulfill both regulatory and internal governance standards concerning AI. Key components of the System will encompass AI inventory oversight, comprehensive AI Risk Management throughout its lifecycle, including initiation, development, validation, deployment, monitoring, change management, and retirement. This platform will serve as the governance backbone for ensuring ethical AI development and utilization.

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 various work streams associated with 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, are accurately represented in the BRD, working closely with engineering and product teams to ensure timely delivery.
  • Conduct testing during and after system development to confirm that functionalities are integrated effectively and operate as intended, documenting all tests, outcomes, and critical stakeholder decisions.
  • Communicate any bugs or potential design issues identified during development and testing phases to relevant stakeholders promptly, assisting engineers and product managers in timely resolutions.
  • Proactively manage the project and play a crucial role in ensuring timely delivery.

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 strategies for clients.
  • Exceptional communication skills to effectively convey business objectives, challenges, findings, and solutions to both technical and non-technical audiences.
  • Demonstrate a proactive and ownership-oriented mindset, delivering excellent results independently and within a team setting.
  • A motivated learner with the ability to research, acquire, and apply advanced technical and non-technical skills related to AI/models.
  • Ability to foster strong relationships with both internal and external stakeholders, ensuring effective engagement.


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