Director of Product & Process

Aker BioMarine

6h•Hybrid

About The Position

Aker BioMarine is a leading innovator in human health and nutrition, specializing in krill-derived products from the pristine waters of Antarctica. The company, with approximately 200 employees globally representing over 25 nationalities, fosters an international, high-performing, diverse, and dynamic work environment. They value diversity, high skill levels, adaptability to unexpected situations, fast-paced decision-making, continuous change, and strong teamwork. The Director of Product & Process role is situated within the Technology Hub and involves close collaboration with Manufacturing, Automation, Maintenance, R&D, and Innovation teams. The primary objective of this position is to spearhead data-enabled optimization and digitalization initiatives across the company's processes.

Requirements

Master’s degree in Process Engineering, Automation, Data Science, Chemical Engineering, or similar.
8+ years’ experience in a process role in a manufacturing environment.
Very strong analytical skills with the ability to translate data into actions.
Comfortable working with large data sets and turning data into clear insight.
Strong stakeholder management skills and the ability to drive alignment across functions.

Nice To Haves

PhD preferred

Responsibilities

Analyze large-scale process, equipment, and sensor data using advanced statistical methods, machine learning, and multivariate analysis to identify trends, variability, and root causes.
Develop data-driven models to predict process behavior, yield performance, cost drivers, and process capability.
Establish digital process monitoring systems using tools such as Grafana, JMP, or similar platforms to support real-time decision-making.
Develop and maintain process models and digital representations of production systems based on operational data.
Apply cybernetic principles of feedback control to improve process stability, robustness, and operational performance.
Identify opportunities for advanced process control (APC), closed-loop optimization, and automated decision support.
Collaborate with automation and control engineers to translate analytical insights into improved control strategies and automation enhancements.
Support development of predictive monitoring and anomaly detection systems leveraging process data.
Lead hands-on investigations and improvement initiatives ensuring analytical findings are turned into sustainable operational improvements.
Design and execute structured experiments (DoE) to validate hypotheses and quantify process improvements.
Identify opportunities for yield improvement, cost reduction, enhanced process capability, and improved operational robustness.
Support new product development, process scale-up, and technology transfer from R&D to manufacturing.
Ensure new processes include robust control strategies, monitoring systems, and data-driven performance models.
Work closely with Manufacturing, Automation, Maintenance, and Quality teams to ensure successful implementation of improvements.
Translate complex analytical findings into practical operational solutions and process changes.
Support digital manufacturing initiatives, including development of process data infrastructure and integration of new sensors.
Contribute to the development of data platforms and analytical tools to enhance process transparency and operational intelligence.
Document analyses, models, recommendations, and implemented improvements in accordance with internal standards and regulatory expectations.
Manage and contribute to cross-functional projects focused on process optimization, automation, and digital manufacturing.