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 Head 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 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. Must be local to or able to relocate to commuting range of a Lonza site, as this position requires on-site presence.
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: Strong understanding of GxP compliance requirements and best practices in manufacturing data management required.
Intermediate experience required in a leadership role overseeing data teams and delivering data projects, preferably within the pharmaceutical manufacturing domain.
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