At a Glance
- Tasks: Lead priority projects in data analytics, ensuring successful delivery and collaboration.
- Company: Join data42, part of Novartis, driving innovation in biomedical research.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and professional growth.
- Why this job: Be part of a pioneering team that impacts healthcare and drives meaningful change.
- Qualifications: 10+ years in project management; experience in life sciences and technology is essential.
- Other info: Ideal for innovative thinkers eager to shape the future of medicine.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Join Our Team at data42! At data42, part of Novartis Biomedical Research, our vision is to empower and inspire Novartis’ research and development community in harnessing inter-connected multimodal internal and external data in a securely governed platform. We strive to accelerate additional research across a continuum of research, development and medical to unlock insights leading to the discovery and development of new medicines for patients.
As a Program Execution Lead, you will work closely with the science team to manage priority projects, such as the "Golden use-cases" within data42, a leading data analytics platform for Novartis research and development. You will be a key member of the operations team, establishing best practices for impactful use cases. Your responsibilities include overseeing, coordinating, and monitoring activities to generate valuable business insights.
This role will also encompass extensive stakeholder management, facilitating collaborations within the company and driving projects aimed at serving a wide customer base within Novartis. As a leader within data42, you will be required to contribute to the continuous evolution of the data42 team by being an enthusiastic, cooperative and collaborative team player as well as a mentor to junior members. In this role, you’ll have an opportunity to bring your open-mindedness and innovative attitude for this high visibility, pioneering team!
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 10 years 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.
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!
Skills Desired: Budget Management, Clinical Trials, Negotiation Skills, People Management, Process Improvement, Project Planning, Vendor Management, Waterfall Model.
Program Execution Lead, Data42 employer: Healthcare Businesswomens Association
Contact Detail:
Healthcare Businesswomens Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Program Execution Lead, Data42
✨Tip Number 1
Familiarise yourself with the specific projects and initiatives at data42, especially the 'Golden use-cases'. Understanding these will help you demonstrate your knowledge during discussions and show how you can contribute to their success.
✨Tip Number 2
Network with current employees or alumni from Novartis and data42. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your interactions.
✨Tip Number 3
Brush up on Agile and Lean methodologies, as well as OKRs. Being able to discuss these frameworks confidently will showcase your readiness to lead projects effectively within the dynamic environment of data42.
✨Tip Number 4
Prepare to discuss your experience in stakeholder management and cross-functional leadership. Highlight specific examples where you've successfully built relationships and driven projects, as this is crucial for the Program Execution Lead role.
We think you need these skills to ace Program Execution Lead, Data42
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight relevant experience in project management, particularly in dynamic environments. Emphasise your work with technology, data engineering, and data science teams, as well as any life science or healthcare experience.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company’s mission. Mention specific projects or experiences that demonstrate your ability to manage priority projects and collaborate with diverse teams.
Highlight Leadership Experience: In your application, focus on your cross-functional leadership experience. Provide examples of how you've successfully built relationships and communicated with business leaders and team members in previous roles.
Showcase Relevant Skills: Include specific skills mentioned in the job description, such as knowledge of Agile and Lean methodologies, project planning, and budget management. This will help demonstrate that you are a strong fit for the position.
How to prepare for a job interview at Healthcare Businesswomens Association
✨Understand the Role and Responsibilities
Make sure you thoroughly understand the job description and responsibilities of a Program Execution Lead. Familiarise yourself with terms like 'Golden use-cases' and the importance of stakeholder management, as these will likely come up during your interview.
✨Showcase Your Project Management Experience
Prepare to discuss your past experiences in project and programme management, especially in dynamic environments. Highlight specific examples where you've successfully led teams, managed risks, and delivered projects from start to finish.
✨Demonstrate Your Knowledge of Data and Technology
Since this role involves working closely with data engineering and data science teams, be ready to talk about your understanding of data analytics platforms, Agile methodologies, and any experience you have with Generative AI or Large Language Models.
✨Emphasise Collaboration and Leadership Skills
As a leader within the team, it's crucial to demonstrate your ability to collaborate effectively with diverse teams. Prepare examples that showcase your leadership style, how you mentor others, and how you create transparency and communication among team members.