Senior Manager - Clinical Data Hub Team

Roles & Responsibilities:

• Define and communicate the product feature vision, including both technical / architectural features and enablement, and end-user features, ensuring alignment with business objectives across multiple solution collaborator groups
• Create, prioritize, and maintain the feature backlog, ensuring that it reflects the needs of the business and collaborators
• Collaborate with collaborators to gather and document product requirements, user stories, and acceptance criteria
• Work closely with the business teams, Scrum Master and development team to plan and implement sprints, ensuring that the highest priority features are delivered
• Oversee the day-to-day management of technology platforms, ensuring that they meet performance, security, and availability requirements
• Ensure that platforms comply with security standards, regulatory requirements, and organizational policies
• Assure that AIN team is successfully creating robust written materials, including product documentation, product backlog and user stories, and creating other need artifacts to assure efficient and effective coordination across time zones.
• Oversee the resolution of service-related incidents and problems, ensuring minimal impact on business operations
• Maintains in-depth knowledge of clinical development business domains with an emphasis in data assets and data pipelines, as well as an understanding of the 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:

• Masters degree and 8 to 10 years of Information Systems experience OR
• Bachelors 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 undemanding and gather business requirements and delivered insight, and achieved concrete business outcome.
• 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 and CI/CD/Gitlab, Apache/Databricks,
• Expert understanding and experience of 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 defining product roadmap.
• High learning agility, demonstrated ability of quickly grasp ever changing technology and clinical development domain knowledge and applied to the project work.
• Strong communications 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) standard

Soft Skills:

• Excellent analytical and troubleshooting skills
• Deep intellectual curiosity, particularly about data patterns, and learning about business processes and life of the user
• Highest degree of initiative and self-motivation
• Strong verbal and written communication skills, including presentation of 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 of 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.