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Data Insights Leader
hace 2 meses
Job Summary
Lonza, a global leader in life sciences, is seeking a talented professional to lead its data insights team. As the Head of Data Insights, you will play a crucial role in driving business growth and improvement through data-driven decision-making.
About the Role
The successful candidate will be responsible for overseeing the delivery of data and analytics projects organization-wide, with a strong focus on pharmaceutical manufacturing domain data. This will involve leading a team of data engineers, BI analysts, and subject matter experts (SMEs) to develop and maintain a global strategy for Data Historian (PI) implementation.
Key Responsibilities
- Lead and manage a team of data professionals, providing guidance, mentoring, and support to foster their professional growth.
- Facilitate requirements engineering processes to ensure a comprehensive understanding of stakeholder needs and translate them into actionable insights and data solutions.
- 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.
Requirements
- Strong understanding of GxP compliance requirements and best practices in manufacturing data management.
- Intermediate experience required in a leadership role overseeing data teams and delivering data projects, preferably within the pharmaceutical manufacturing domain.
