
Specialist IS Business System Analyst, Neural Nexus
2 weeks ago
*What you will do*
In this vital role you will support the delivery of emerging AI/ML capabilities within Amgen's Neural Nexus program. As part of the Commercial Technology Data & Analytics team, you will collaborate with product owners and cross-functional partners to help design, implement, and iterate on a layered ecosystem passionate about DIAL (Data, Insights, Action, and Learning).
- Collaborate with the Commercial Data & Analytics (CD&A) team to help realize business value through the application of commercial data and emerging AI/ML technologies.
- Support delivery activities within the Scaled Agile Framework (SAFe), partnering with Engineering and Product Management to shape roadmaps, prioritize releases, and maintain a refined product backlog.
- Contribute to backlog management by helping break down Epics into Features and Sprint-ready User Stories, ensuring clear articulation of requirements and well-defined Acceptance Criteria and Definitions of Done.
- Ensure non-functional requirements are represented and prioritized within the backlog to maintain performance, scalability, and compliance standards.
- Collaborate with UX to align technical requirements, business processes, and scenarios with user-centered design.
- Assist in the development and delivery of engaging product demonstrations for internal and external partners.
- Support documentation efforts to maintain accurate records of system configurations, processes, and enhancements.
- Contribute to the launch and growth of Neural Nexus product teams focused on data connectivity, predictive modeling, and fast-cycle value delivery for commercial teams.
- Provide input for governance discussions and help prepare materials to support executive alignment on technology strategy and investment.
*What we expect of you*
We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Specialist IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications.
Basic Qualifications:
- Doctorate degree / Master's degree / Bachelor's degree with 8 to 13 years of experience in Information Systems
- Experience with writing user requirements and acceptance criteria
- Affinity to work in a DevOps environment and Agile mind set
- Ability to work in a team environment, effectively interacting with others
- Ability to meet deadlines and schedules and be accountable
*Must-Have Skills*
- Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies
- Experience with Agile software development methodologies (Scrum)
- Superb communication skills and the ability to work with senior leadership with confidence and clarity
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in managing product features for PI planning and developing product roadmaps and user journeys
*Good-to-Have Skills:*
- Demonstrated expertise in data and analytics and related technology concepts
- Understanding of data and analytics software systems strategy, governance, and infrastructure
- Familiarity with low-code, no-code test automation software
- Technical thought leadership
- Able to communicate technical or complex subject matters in business terms
- Jira Align experience
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodology
*Soft Skills:*
- Able to work under minimal supervision
- Excellent analytical and gap/fit assessment skills
- Strong verbal and written communication skills
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
*Technical Skills:*
- Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)
- AWS (similar cloud-based platforms)
- Experience with design patterns, data structures, test-driven development
- Knowledge of NLP techniques for text analysis and sentiment analysis
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