Associate Director - Advanced Process Analytics, Data Literacy & Modelling (Dunboyne)

Join a growing biologics drug substance manufacturing site in Dunboyne as the Associate Director of Advanced Process Analytics, Data Literacy & Modelling. You will lead the development and implementation of advanced analytics, predictive modelling, and digital solutions that enhance process understanding, operational performance, and product quality. This strategic role combines scientific expertise, digital transformation and organisational change, working across manufacturing, technical, quality, automation and digital teams to drive the adoption of Industry4.0 technologies, build advanced data capabilities and embed data and AI enabled decision making into everyday operations.

• Develop and lead the site strategy for advanced process analytics, predictive modelling and data driven manufacturing.
• Drive the evolution of continued process verification through real time data analysis, automated monitoring and anomaly detection.
• Design and deploy advanced analytical models to support process understanding, troubleshooting, optimisation and operational performance.
• Partner with technical, manufacturing and development teams to embed advanced analytics into new product introductions and technology transfers.
• Collaborate with digital, automation, IT and data teams to integrate manufacturing and laboratory data across multiple systems.
• Ensure analytics and digital solutions support regulatory requirements and data integrity standards.
• Champion digital transformation initiatives and identify opportunities to apply AI and advanced analytics to scientific and engineering challenges.
• Lead site wide programmes to improve data and AI literacy across all levels of the organisation.
• Translate complex data science concepts into practical business solutions that drive adoption and engagement.
• Establish and grow a community of practice focused on analytics, data driven decision making and capability development.

• Degree in Chemical Engineering, Bioengineering, Data Science, Statistics or a related scientific discipline (advanced qualification preferred).
• Significant experience within biologics, biopharmaceutical, technical operations, manufacturing science or process development environments.
• Deep understanding of biologics manufacturing processes, including upstream and downstream operations.
• Strong experience in advanced analytics, multivariate data analysis, statistical modelling, machine learning or process modelling applications.
• Hands on experience with data analytics and modelling tools such as Python, R, JMP, MATLAB, SEEQ, SIMCA or similar platforms.
• Experience delivering digital transformation or data driven improvement initiatives in a regulated manufacturing environment.
• Strong understanding of regulatory expectations relating to data integrity, validation and process verification.
• Proven ability to lead cross functional initiatives and influence stakeholders across technical and operational functions.
• Excellent communication skills, with the ability to explain complex analytical concepts to both technical and non technical audiences.
• Passion for innovation, continuous improvement, capability building and fostering a data driven culture.

• Automation systems
• Biological manufacturing
• Biopharmaceutical industry
• Business process modelling
• Continuous improvement
• Cross functional collaboration
• Data analytics
• Data modelling tools
• Digital transformation
• Process analytics
• Technical operations
• Unified modelling language (UML)

• Current employees apply.
• Contingent workers apply.

We offer flexible working arrangements and encourage a hybrid model where possible.

We are an equal opportunity employer. We consider all qualified applicants regardless of gender, race, colour, national origin, citizenship, disability or age, in accordance with applicable laws.