Job
Description
In this vital role, you will play a key part in successfully leading the engagement model between Amgen's Technology organization and Global Commercial Operations. You will collaborate with Business SMEs, Data Engineers, and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Conversational AI product team. You'll become a domain authority in Conversational AI technology capabilities by researching, deploying, and sustaining features built according to Amgen's Quality System. This role demands a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. What You Will Do Lead the voice of the customer assessment to define business processes and product needs. Work with Product Managers and customers to define scope and value for new developments. Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog. Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team. Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog. Ensure Acceptance Criteria and Definition of Done are well-defined. Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs. Develop and implement effective product demonstrations for internal and external partners. Maintain accurate documentation of configurations, processes, and changes. Understand end-to-end data pipeline design and dataflow. Apply knowledge of data structures to diagnose data issues for resolution by the data engineering team. Implement and supervise the performance of Extract, Transform, and Load (ETL) jobs. Basic Qualifications Master's degree with 4 - 6 years of experience in Information Systems; OR Bachelor's degree with 6 - 8 years of experience in Information Systems; OR Diploma with 10 - 12 years of experience in Information Systems. Experience with writing user requirements and acceptance criteria. Affinity to work in a DevOps environment and Agile mindset. 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 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. 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. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. 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.
