Continuous Improvement Manager
Pubblicato il 06-10-2026 - Corden Pharma in Bergamo
The successful candidate will join the Technical Operations department, reporting to the Managing Director on organizational and managerial matters and working in coordination with the Technical Operations Director on technical direction and functional priorities.
They will be responsible for leading Operational Excellence at the site, translating corporate objectives into concrete, measurable initiatives. In this highly visible, cross-functional role, they will drive process optimization through data, KPIs, and Lean Six Sigma methodologies.
KEY RESPONSIBILITIES
- Define and implement the site Operational Excellence roadmap, translating corporate objectives into action plans, KPIs, and measurable targets.
- Proactively identify and prioritize improvement opportunities across manufacturing processes and cross-functional workflows, assessing solutions both with and without capital investment.
- Lead initiatives to improve efficiency, quality, productivity, safety, and standardization, delivering quantifiable savings and benefits.
- Analyze process data using KPIs, Minitab,
and statistical methods to support evidence-based decisions and corrective actions.
- Coordinate cross-functional meetings and workshops, engaging stakeholders in reviewing processes, workflows, and operating practices.
- Monitor project outcomes and benefits, provide updates to the Site Management Team and corporate stakeholders, and share best practices across the OPEX network.
Although the role does not involve direct people management, it requires strong cross-functional leadership skills to engage, influence, and coordinate cross-functional teams in continuous improvement projects.
Ihr Profil
REQUIREMENTS
- Master’s degree in engineering or scientific discipline.
- At least five years of experience in Operational Excellence, Continuous Improvement, or Process Excellence roles within complex industrial environments.
- Strong knowledge of Lean Six Sigma methodologies, statistical analysis, and p