Roles & Responsibilities :
- Collaborate with global Commercial Operations SMEs, Data Engineers, Data Scientists, and Product Managers to lead business analysis activities aligned with product and engineering objectives.
- Become a domain expert in Commercial Operations data and AI technologies by supporting the development and sustainment of features within Amgen's Quality System.
- Lead voice-of-the-customer assessments to identify business process improvements and define detailed product requirements.
- Define scope, business value, and feasibility for new product developments in collaboration with Product Managers and business stakeholders.
- Partner with Product Management and Engineering to prioritize backlogs and release scopes.
- Ensure both functional and non-functional requirements are captured and addressed in the Product and Release Backlogs.
- Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories; participate in refinement and backlog reviews with development teams.
- Author clear and concise user stories with well-defined acceptance criteria and definitions of done.
- Work closely with Business SMEs, ML Engineers, and Data Scientists to understand data product requirements, KPIs, and data sources.
- Analyze source systems and contribute to the development of Source-to-Target Mapping (STTM) documents.
- Deliver internal and external product demonstrations to support alignment and adoption.
- Maintain accurate documentation related to configurations, workflows, and system / process changes.
- Understand the design and function of end-to-end data pipelines, including dataflow logic.
- Diagnose data issues using knowledge of data structures and collaborate with Data Engineering for resolution.
Basic Qualifications :
Bachelor's, Master's, or Doctorate degree in a relevant field.12 to 17 years of experience in global Commercial Operations Information Systems.Must-Have Skills :
Strong problem-solving skills with a focus on AI and data-driven challengesAgile development methodology experience (Scrum)Excellent communication and stakeholder management, including senior leadership interactionProficiency in writing user stories and acceptance criteria using agile tools like JiraExperience with PI Planning, roadmap creation, and user journey definitionGood-to-Have Skills :
Expertise in data and analytics technologies and systemsUnderstanding of software governance, architecture, and infrastructure for data platformsFamiliarity with low-code / no-code test automation toolsExposure to DevOps, CI / CD practices, and Jira AlignAbility to translate complex technical concepts into clear business languageExperience with NLP and text / sentiment analysisTechnical Skills :
Knowledge of cloud-based data platforms (e.g., Databricks, Redshift, AWS S3)Understanding of design patterns, data structures, and test-driven developmentHands-on experience with cloud environments, especially AWSSoft Skills :
Self-starter, able to work with minimal supervisionStrong analytical and gap assessment abilitiesExcellent verbal and written communication skillsEffective in cross-functional, global, and virtual team environmentsAbility to manage multiple priorities in a dynamic settingTeam-oriented with a commitment to shared successConfident public speaker and skilled in presentationsSkills Required
Agile Methodology, Jira, Product Roadmap