Business Systems Analyst

Description

• 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 NLP 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

Responsibilities

• • Minimum 5 years’ experience analyzing business requirements and support information systems projects
• • Experience of working in end-to-end software development lifecycle
• • [Non-negotiables] Hands-on expertise with Jira, Confluence, Trello, Lucid Chart and Google Suite
• • [Non-negotiables] Be on-site 3-4 days a week and/or as required by product team
• • [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
• • Must have for data and hands on experience with data related initiatives
• • Understanding and experience in ML and data science concepts is preferred