System Analyst
4 weeks ago
- 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
- Collaborate with crossfunctional teams to collect and document business requirements that would enable PayPals 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 PayPal 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 nontechnical stakeholders.
- Operate with velocity and an ownership mindset and proactively deliver great endtoend results both independently and in a team environment
- A passionate fast learner with ability to research learn and apply advanced technical and nontechnic 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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