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Head of Data Insights and Strategy
hace 2 meses
About the Role
We are seeking a highly skilled and experienced professional to lead our Data Insights and Analytics team. As the Head of Data Insights and Strategy, you will be responsible for overseeing the delivery of data and analytics projects across the organization, with a strong focus on pharmaceutical manufacturing domain data.
Key Responsibilities
- Lead and Manage a Team: Lead and manage a team of data engineers, BI analysts, and subject matter experts (SMEs) to deliver data and analytics projects.
- Develop and Maintain a Global Strategy: 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.
- Act as a Trusted Data Partner: Act as a trusted data partner, advising stakeholders on data-driven decision-making and best practices in utilizing pharmaceutical manufacturing data for business improvement.
- Provide Technical Expertise: Provide technical expertise and support for the maintenance and implementation of GxP solutions, with a focus on pharmaceutical manufacturing data compliance and best practices.
- Establish Effective Communication Channels: Establish effective communication channels to provide regular updates on project status, key insights, and recommendations to stakeholders and senior management.
- Perform Other Duties: 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: Strong understanding of GxP compliance requirements and best practices in manufacturing data management required.
- Leadership Experience: Intermediate experience required in a leadership role overseeing data teams and delivering data projects, preferably within the pharmaceutical manufacturing domain.
- Education and Experience: Minimum Bachelor's degree in data science, computer science, information management or other relevant field, with extensive knowledge of Data Historian implementation, particularly with PI systems, ISA95 Data Model, Asset and Event Frameworks, and Master Data management.
- Communication and Collaboration Skills: Excellent communication, collaboration, and stakeholder management skills, with proficiency in data analysis tools and techniques, business intelligence platforms, and data visualization tools.
- Project Management Experience: Project management experience, including the ability to effectively plan, execute, and monitor projects to successful completion.
- Language Skills: Fluency in English required, fluency in German preferred.
