Team Manager Data Insights
Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.
As the Team Manager of Data Insights, you will lead a talented team of data engineers, BI analysts, and subject matter experts (SMEs). Your primary responsibility will be to oversee the delivery of data and analytics projects across organization wide, with a strong focus on pharmaceutical manufacturing domain data. Additionally, you will develop and maintain a global strategy for Data Historian (PI) implementation, serving as the Program Manager for its rollout.
Key Responsibilities:
- Lead and manage a team of business data/BI analysts, data SMEs, data services transition managers, and data engineers, providing guidance, mentoring, and support to foster their professional growth.
- Facilitate requirements engineering processes, ensuring a comprehensive understanding of stakeholder needs and translating them into actionable insights and data solutions to implement data projects.
- Act as a trusted data partner, advising stakeholders on data-driven decision-making and best practices in utilizing pharmaceutical manufacturing data for business improvement.
- Develop and maintain a global strategy for Data Historian (PI) implementation, including Data Model based on ISA95 with Asset and Event Framework, and corresponding Master Data management specific to pharmaceutical manufacturing processes.
- Provide technical expertise and support for the maintenance and implementation of GxP solutions, with a focus on pharmaceutical manufacturing data compliance and best practices.
- Provide technical guidance and support to the team, ensuring the effective implementation of data pipelines, data modeling, ETL processes, and analytics frameworks.
- Establish effective communication channels to provide regular updates on project status, key insights, and recommendations to stakeholders and senior management.
- Occasional domestic and international travel (up to 20%).
- Perform other duties as assigned, contributing to the overall success of the data insights team and organizational objectives.
Key Requirements:
- Minimum Bachelor’s degree in data science, computer science, information management or other relevant field
- Proven experience in a leadership role overseeing data teams and delivering data projects, preferably within the pharmaceutical manufacturing domain.
- Preferred experience in the pharmaceutical manufacturing sector or closely related industries, with a strong understanding of MES, LIMS, QMS, and time series data solutions' data models and structures.
- Extensive knowledge of Data Historian implementation, particularly with PI systems, ISA95 Data Model, Asset and Event Frameworks, and Master Data management.
- Strong understanding of GxP compliance requirements and best practices in pharmaceutical manufacturing data management.
- Proficiency in data analysis tools and techniques, business intelligence platforms, and data visualization tools (Process Analytical Technology tools).
- Excellent communication, collaboration, and stakeholder management skills.
- Project management experience, including the ability to effectively plan, execute, and monitor projects to successful completion
- Fluency in English required, fluency in German preferred
Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.
People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
