Sr. AI System Analyst - Glow Networks

Job Description:

We are seeking a highly experienced System Analyst to help build a centralized Enterprise AI Risk Management System (“System”) to meet AI regulatory and internal governance requirements. The System will include, but not limited to, AI inventory management, AI Risk Management throughout the lifecycle including initiation, development, validation, deployment, monitoring, change management, retirement. As a System Analyst, you are responsible for following and understanding evolving AI regulatory requirements and collaborating with various SMEs at client's site to ensure applicable regulatory and internal governance requirements are properly incorporated in the business requirements document (BRD) and system design. You will lead and drive the project by closely working with data science, engineering, and product teams to ensure proper execution of the BRD and testing. The System will be delivered in a phased approach including, but not limited to,

• architecture design
• global AI inventory creation and maintenance including existing AI/model inventory conversion
• AI/model governance functions (e.g., model submission, model approval, AI use case assessment and approval including but not limited to data and privacy, security, intellectual property)
• tracking and reporting functions

Responsibilities:

• Collaborate with cross-functional teams to collect and document business requirements that would enable product manager and engineers to follow and develop the System
• Conduct thorough gap analysis and propose optimal scalable solution by effectively leveraging existing resources (including available data, platforms, systems, SMEs) and minimize redundant work
• Initiate and drive necessary meetings to ensure proper communication and alignment on the functions (including, but not limited to, GUI design, logic flow of the governance requirements such as review and approval process) of the System among relevant stakeholders and propose optimal solutions
• Test during and post system development to ensure the System functions are working as intended, document all tests and outcomes, critical decisions made by stakeholders and rationale
• Ensure any bugs or potential design/scalability issues identified during development and testing phases communicated timely to all relevant stakeholders and documented, and assist engineers and product managers to resolve timely
• Manage the project proactively and play pivotal role in timely delivery

Requirements:

• An advanced degree (bachelor or master) in an equivalent field such as business, management, management of information system
• Experience building global enterprise systems or applications
• Solid understanding machine learning features/data, and AI/model lifecycle risk management
• Excellent technical document writing skills to draft and maintain relevant documents including but not limited to BRD, meeting minutes, presentations, emails, project progress.
• Outstanding communication skills to be able to effectively present business goals, issues/ /challenges, gaps/findings, and solutions to both technical and non-technical stakeholders.
• Operate with velocity and an ownership mindset and proactively deliver great end-to-end results both independently and in a team environment
• A passionate fast learner with ability to research, learn, and apply advanced technical and non-technic skills related to AI/model.
• Ability to build strong relationship with stakeholders from various teams such as data, privacy, legal, security, data science, engineering, product, compliance, audit and ensure effective engagement