In this pivotal role based in Hyderabad, you will lead an Agile product squad, taking ownership of the vision, strategy, and implementation for our Clinical Data products, specifically supporting Amgen's Clinical Trial Design & Analytics. You'll be a key collaborator, working closely with statisticians, data scientists, data engineers, and AI/ML engineers to translate business needs into system enhancements and drive successful implementation projects. Your robust background in business analysis, system design, and project management will be crucial in delivering innovative and impactful technology products.
Roles & Responsibilities
- Define and communicate the product feature vision, encompassing both technical/architectural and end-user features, ensuring alignment with business objectives across multiple solution collaborator groups.
- Create, prioritize, and maintain the feature backlog, ensuring it accurately reflects business and collaborator needs.
- Collaborate with collaborators to gather and document product requirements, user stories, and acceptance criteria.
- Work closely with business teams, Scrum Master, and the development team to plan and implement sprints, ensuring the delivery of the highest priority features.
- Oversee the day-to-day management of technology platforms, ensuring they meet performance, security, and availability requirements.
- Ensure platforms comply with security standards, regulatory requirements, and organizational policies.
- Assure that the AIN team successfully creates robust written materials, including product documentation, product backlog, and user stories, and other necessary artifacts for efficient and effective cross-time zone coordination.
- Oversee the resolution of service-related incidents and problems, ensuring minimal impact on business operations.
- Maintain in-depth knowledge of clinical development business domains, with an emphasis on data assets and data pipelines, and an understanding of multi-functional dependencies.
- Analyze customer feedback and support data to identify pain points and opportunities for product improvement.
What We Expect of You
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications
- Master's degree and 8 to 10 years of Information Systems experience OR
- Bachelor's degree and 10 to 14 years of Information Systems experience OR
- Diploma and 14 to 18 years of Information Systems experience
- A solid foundation in modern software design and engineering practices and business analysis.
- Proven experience in understanding and gathering business requirements, delivering insights, and achieving concrete business outcomes.
- Technical Proficiency: Good understanding of the following technologies: Python, R, AI/ML frameworks, relational databases/data modeling, AWS services (EC2, S3, Lambda, ECS, IAM), Docker, CI/CD/Gitlab, Apache/Databricks.
- Expert understanding and experience of the clinical development process within Life Sciences (global clinical trial data sources, SDTM & ADaM, end-to-end clinical data design and analysis pipeline, clinical data security and governance).
- Experience in Agile product development as a participating member of a scrum team and related ceremonies and processes.
- Ability to collaborate with data scientists and data engineers to deliver functional business requirements as well as defining the product roadmap.
- High learning agility, demonstrated ability to quickly grasp ever-changing technology and clinical development domain knowledge and apply it to project work.
- Strong communication skills in writing, speaking, presenting, and time management skills.
Preferred Qualifications
- Training or education degree in Computer Science, Biology, or Chemistry.
- Experience with Clinical Data and CDISC (SDTM and ADaM) standards.
Soft Skills
- Excellent analytical and troubleshooting skills.
- Deep intellectual curiosity, particularly about data patterns, and learning about business processes and the life of the user.
- Highest degree of initiative and self-motivation.
- Strong verbal and written communication skills, including presentation to varied audiences through complex technical/business topics.
- Confidence in leading teams through prioritization and sequencing discussions, including managing collaborator expectations.
- Ability to work effectively with global, virtual teams, specifically including leveraging tools and artifacts to assure clear and efficient collaboration across time zones.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Strong problem-solving, analytical skills.
- Ability to learn quickly and retain and synthesize complex information from diverse sources.
