Manager, Data Science (Supply Chain & Procurement)

About the Role

As a Manager of Data Science within the Procurement & Supply Chain COE, you will support global teams through analytics, digital transformation, and process improvements. Your work will drive efficiency, automation, and insight generation across Lonza’s global network.

What You Will Get

• An agile career and dynamic working culture within a global life sciences leader

• The opportunity to work on global digital finance initiatives impacting multiple manufacturing sites

• Exposure to enterprise-scale SAP ERP and Microsoft Power Platform solutions

• A collaborative, inclusive, and ethical workplace

• Competitive compensation and benefits aligned with role and experience

• Opportunities for professional growth through cross-functional and global collaboration

What you will do

Analytics & Data Transparency

- Consolidate global Procurement and Supply Chain data.

- Support analytics systems, models, and reporting tools.

- Maintain dashboards, KPIs, and databases.

- Work with internal/external teams on analytics use cases.

- Use SQL, R, Python for insights.

- Streamline reporting and remove inefficiencies.

Process, Systems & Tools Management

- Support digital tools and technologies evaluation and implementation.

- Scout market innovations in AI, predictive analytics, automation.

- Support SOP, policy, and process development.

- Manage access control and system administration tasks.

Stakeholder Management

- Engage Procurement, Supply Chain, Finance, and global functions.

- Translate business needs into technical requirements.

- Lead onboarding and training for tools and processes.

Project Management

- Support global projects for system/process enhancement.

- Track tasks and timelines.

- Conduct data validation and testing pre-deployment.

- Ensure system/process adoption.

What We Are Looking For

- Bachelor’s degree (IT, Computer Science, Engineering, or related).

- 5–10 years in data analytics, business/financial acumen, big data, ML, database management.

Skills

- Strong analytical, technical, and IT skills.

- Hands-on with SAP (ERP, BW, Lumira), Power BI.

- Experienced with R, Python, SAS, MATLAB.

- Strong data modeling and database understanding.

- Knowledge of procurement and supply chain preferred.

- Strong communication, agility, problem solving, and project management.

Competencies

- Agility, Business Acumen, Collaboration, Customer Focus, Driving Results, Leadership.

Additional Information

- People Management: None

- Budget Responsibility: None

- Quality/Safety: N/A

About Lonza

At Lonza, our people are our greatest strength. With more than 30 sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values—Collaboration, Accountability, Excellence, Passion, and Integrity—reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of. Innovation thrives when people from all backgrounds bring their unique perspectives to the table. Lonza is committed to creating an inclusive environment for all employees.