Senior Business Systems Analyst - ML and Data Science

Below are some key initiatives under this product:

• Data Science Workbench for Genentech : Implementation of Advanced Analytical insights and services platform for everyday Commercial AI, systemizing the use of data for exceptional business results and a central solution for the design, deployment, and management of AI applications
• Natural Language Processing (NLP) Platform: Partnering with external vendor to pilot and deploy in-house built unified NLP platform for training, running, and managing ML models and deploy recommendation applications for field sales force
• Commercial Data Science (CDS) Sandbox: Pilot and launch web-based, integrated development environment (IDE) that lets you prepare data, build, train, deploy, and monitor your machine in AWS.

As a Sr. Business Systems Analyst on the product team, you will:

• Be a go getter who can wear multiple hats to drive implementation of key data science and ML products initiatives .
• Have a broad knowledge and leverage the technical capabilities of the internal teams and external technology providers and vendors
• Collaborate with Product Line Leads, Product Managers, Project Managers/Scrum Masters, Architects, Engineers, Developers, Quality Assurance, and User Experience Designers on scope, solutions, constraints, and risks
• Analyze/document current and future business and data needs and help translate to the technical teams.
• Guide and support other Business System Analyst as they develop the detailed requirements (stories)
• Perform knowledge transfer to training and communication teams and support user deployment activities as needed
• Produce detailed wireframes and mockups using visualization tools for prototyping

Requirements

• Bachelor's degree in Business, Information Systems or related field; Master's degree in Business or Science is preferred
• Overall 7+ years of experience as Business Systems Analyst
• Strong hands-on and leadership experience in deploying a board set of AI/ML technologies
• Experience and understanding of application development methodology - including Agile and Waterfall approaches, functional requirements, process modeling/re-engineering, use case development, user acceptance testing, organizational change management, and large-scale system implementations
• Understanding and experience in ML and data science concepts
• Demonstrated success in handling initiatives of high complexity, high profile, and large-scale programs
• Demonstrated ability to quickly learn the business in unfamiliar areas
• Ability to work in an environment of competing and alternating priorities with a constant focus on delivery
• Excellent communication (written and oral) and presentation skills; solid business acumen; well-honed influencing skills are essential
• Self-motivated and team-oriented; able to work both autonomously and effectively as part of a geographically dispersed team
• Experience with Jira, Confluence, and other Agile tools preferred
• Proven leadership abilities and emotional intelligence