摘要
About the Role
Responsibilities:
Partnering with the science delivery team to ensure operational management of priority projects, such as “Golden use-cases” within data42 - an industry-leading data analytics platform for Novartis research and development.
Be a critical member of an operations team building expertise to codify repeatable best practices related to achieving these highly impactful use cases.
Providing project oversight including, coordination and monitoring of key-activities performed by data42 teams and business stakeholders to identify, ingest, unify, transform and analyze data to generate valuable business insights in a documented and reproducible way.
Collaborating very closely with the scientific lead accountable for the disease area of the project.
Fully responsible for successful project delivery, monitoring and tracking, managing the projects from startup to completion.
Planning and organizing the project. Setting priorities, manage risks for the project, provide status reports to management.
Ensuring quality standards including documentation, reusability and continuous improvements of deliverables for future projects (templates) with adherence to data42 governance.
Leading teams of diverse background to achieve a common project goal.
Ensuring consistent link between all platform teams – operations, data, and technology.
Creating transparency, surface bottlenecks, and communicate learnings to other teams and team members.
Requirements:
Degree in a relevant discipline or equivalent experience in a relevant field.
At least 10years of professional experience in project/program management in a dynamic and complex environment, including experience working with technology, data engineering and data science teams.
5+ years life science or healthcare experience.
3+ years of cross-/multi-functional leadership experience with demonstrated capability to build relationships and successfully communicate with business leaders and team members.
Solid toolkit knowledge for product leadership that includes an understanding of Agile and Lean methodologies, and OKRs.
Medical knowledge to understand the key scientific question & challenge business owners for in-depth and hypothesis validation.
Deep understanding of users and state-of-the-art technology options.
Knowledge of Generative AI and Large Language Models (LLM).
Proficiency in English (written & oral)
Desirable:
A Master’s degree in business administration
Drug discovery and/or development experience.
Experience of delivery through Agile and/or Lean methodologies.
Experience working on innovation, startups or digital/tech.
How can we achieve this?
How can we achieve this?
With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
