Enterprise AI System Analyst
3 weeks ago
We are seeking a highly experienced Enterprise AI System Analyst to help build a centralized Enterprise AI Risk Management System (System) to meet AI regulatory and internal governance requirements.
Key Responsibilities- Collaborate with cross-functional teams to collect and document business requirements that would enable Engineering Square's 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 Engineering Square engineers and product managers to resolve timely.
- Manage the project proactively and play pivotal role in timely delivery.
- 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-technical 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.
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