Job Description:
Responsibilities:
As a Business Systems Analyst on the product team, you will:
Partner with internal stakeholders to identify and analyze requirements to define scope, objectives, and feasibility analysis. Create a comprehensive Product Requirement Document and detailed Product Roadmap for Genentech's AI/ML Platform
Prepare robust technical reports and create diagrams, workflow maps, or other visuals to facilitate enhanced system understanding
Produce detailed wireframes and mockups using visualization tools for prototyping
Work closely with Data Management & Architecture teams to maintain awareness of accessibility, compliance, and security policies and guidelines
Lead portions of large tasks or projects; build and maintain project management skills
Participate in the implementation of system patches, updates, and maintenance
Collaborate with Product Managers, Project Managers/Scrum Masters, Architects, Engineers, Developers, Quality Assurance, and User Experience Designers on scope, solutions, constraints, and risks
Collaborate with cross-functional IT organization to streamline solution implementations to maintain records of system integrations, changes, and incidents
Develop and execute test plans, as well as other quality assurance measures; lead testing such as user acceptance, performance, security, usability, etc.
Provide timely dissemination of communications for system changes; determine support and resource requirements associated with each change
Requirements

Qualifications:
[Education]: Bachelor's degree in Business Administration/Information Systems or related field; Master's degree in Business or Science is preferred
[Domain]: Overall 5+ years of experience as Business Systems Analyst in Pharmaceutical or Tech Industry in AI/ML Domain. Preferred experience in marketing/finance data modeling and analytics
Experience of working in end-to-end software development lifecycle
[Non-negotiables] Hands-on expertise with Jira, Confluence, Trello, LucidChart and Google Suite
[Non-negotiables] Excellent communication (written and oral) and presentation skills; solid business acumen of US Commercial Market in Pharma industry; well-honed influencing skills are essential
Demonstrated success in handling initiatives of high complexity, high profile, and large-scale programs
Self-motivated and team-oriented; able to work both autonomously and effectively as part of a geographically dispersed team; accountable to meet project deadlines
Must have for data and hands on experience with data related initiatives
Understanding and experience in ML and data science concepts is preferred
Understanding and experience in AWS cloud data storage and processing is preferred