Site Robotics Lead

AT33 (FCRS = AT033) Novartis Pharmaceutical Manufacturing GmbH; Österreich; Vor Ort; EUR 80.000 - 141.000; Vollzeit

Zusammenfassung

Novartis is seeking a Site Robotics Lead in Schaftenau, Austria, to drive robotics transformation across manufacturing, labs, and warehousing. You will shape strategy, manage end-to-end programs, and ensure GMP, validation, and cybersecurity compliance while partnering with global teams.

The role requires 10–15 years of experience in robotics, hands-on deployment, and fluent German and English. Relocation is limited to Europe.

Qualifikationen

• Bachelor's or Master's degree in Robotics, Automation Engineering, Mechanical, Electrical, or Mechatronics or related field.
• Total 10–15 years of experience with 5+ years in robotics, hands-on deployment of industrial robotics.
• Fluent German and English (spoken and written).

Aufgaben

• Develop and execute the site robotics strategy and roadmap.
• Lead robotics programs end-to-end from opportunity assessment to value realization.
• Own the full lifecycle of robotics solutions including maintenance and upgrades.
• Evaluate and deploy robotics technologies (AMRs, AGVs, automation).
• Drive cross-functional collaboration with manufacturing, QA, IT/OT, and partners.

Kenntnisse

AI

Biostatistics

Business Value Creation

Change Management

Data Governance

Data Literacy

Data Quality

Data Science

Data Visualization

Deep Learning

Graph Algorithms

Learning Agility

Machine Learning

Machine Learning Algorithms

Python

Stakeholder Engagement

Statistical Analysis

Time Series Analysis

Ausbildung

Bachelor's or Master's degree in Robotics/Automation/Mechanical/Electrical/Mechatronics

Tools

AMRs

AGVs

Jobbeschreibung

Salary Range: €79,951.00 - €140,500.00

Job Description Summary

This role is based in Schaftenau. Novartis is able to provide relocation support only for candidates relocating within Europe. Please apply only if this location and relocation requirement are feasible for you.

Job Description

The Site Robotics Lead will lead the robotics transformation of the Drug Substance manufacturing site in Schaftenau, Austria, driving the development, implementation, scaling, and lifecycle management of robotics solutions across manufacturing, laboratories, warehousing, and material handling. The role combines robotics expertise, strategic leadership, program management, and stakeholder engagement to enhance productivity, quality, safety, and operational excellence while ensuring GMP, validation, and cybersecurity compliance. As the site's robotics expert, the individual will collaborate with local and global stakeholders, engineering, operations, quality, IT/OT teams, and technology partners to build a sustainable robotics ecosystem.

Major Accountabilities

Develop and execute the site robotics strategy and roadmap, identifying high-value automation opportunities and defining long-term robotics initiatives. Lead robotics programs end-to-end, from opportunity assessment and business case development through implementation, deployment, and value realization. Own the full lifecycle of robotics solutions, ensuring sustainable operations, maintenance, optimization, upgrades, and replacement planning. Evaluate, select, and deploy robotics technologies, including AMRs, AGVs, material handling robots, service robots, AI-enabled robotics, and emerging Physical AI solutions. Drive cross-functional collaboration, partnering with manufacturing, laboratories, warehousing, engineering, quality, IT/OT, and global robotics experts. Establish robotics governance, standards, and performance monitoring, ensuring scalability, reliability, safety, and operational excellence. Ensure regulatory and operational compliance, including GMP requirements, validation, qualification activities, cybersecurity standards, and inspection readiness. Build site robotics capabilities and external partnerships, acting as the site's robotics subject matter expert and fostering strong vendor and stakeholder relationships.

Minimum Requirements

Bachelor's or Master's degree in Robotics, Automation Engineering, Mechanical Engineering, Electrical Engineering, Mechatronics, or a related technical discipline. Total 10-15 years of exp and minimum 5+ years of demonstrated experience in robotics, with hands‑on implementation and deployment of industrial robotics solutions. Proven expertise in robotics technologies such as AMRs, AGVs, automated material handling systems, robotics automation, and vision‑guided systems. Experience leading robotics or automation programs/projects from concept through implementation and operational support. Strong leadership experience, including leading cross‑functional teams, small teams, or matrix organizations. Excellent stakeholder management and influencing skills, with experience engaging both global and local business partners. Fluent German and English language skills (spoken and written). Strong understanding of industrial operations, safety, maintenance, and continuous improvement practices; exposure to GMP/pharmaceutical environments and AI‑enabled robotics is preferred.

Why Novartis?

769 million people were reached with our products in 2022. We are proud of that achievement.

In a world undergoing rapid digital and technological transformation, we continuously ask ourselves: How can we improve and extend even more lives? We believe that curious and ambitious people, working together in an inspiring environment, can find new solutions and make bold decisions that drive meaningful change.

Commitment to Diversity and Inclusion

At Novartis, we are committed to diversity, equity, and inclusion. We strive to build diverse teams that reflect the patients and communities we serve. We foster an inclusive workplace that encourages bold innovation through collaboration and empowers our associates to achieve their full potential.

Our hiring decisions are based on equal opportunity and merit, regardless of gender, religion, age, skin color, race, sexual orientation, nationality, or disability.

Skills Desired

• Artificial Intelligence (AI)
• Biostatistics
• Business Value Creation
• Change Management
• Curious Mindset
• Data Governance
• Data Literacy
• Data Quality
• Data Science
• Data Visualization
• Deep Learning
• Graph Algorithms
• Learning Agility
• Machine Learning (ML)
• Machine Learning Algorithms
• Python (Programming Language)
• Stakeholder Engagement
• Statistical Analysis
• Time Series Analysis

In China Cross‑Border Data Transfer (CBDT) Policy

In the context of China Cross‑Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov.