Job Title: Site ITOT AI Champion (m/f/d) Location: Schaftenau, Austria Employment Type: 12 days/month in office, 2‑year fixed‑term contract (hybrid) Role Overview
At Novartis, you will drive the adoption of Agentic and AI capabilities across site and global TechOps processes by building AI fluency, delivering scalable no‑code/low‑code solutions, and embedding AI‑enabled ways of working that generate measurable productivity and efficiency gains. Key Responsibilities
Drive end‑to‑end adoption of Agentic & AI capabilities across site and global processes, embedding AI‑enabled ways of working into daily operations to deliver measurable productivity gains. Build AI fluency across IT/OT and business teams, establish and lead Agentic/AI champions, and enable hands‑on development of no‑code/low‑code Agentic solutions. Lead bottom‑up use case identification, prioritize high‑value opportunities with site leadership, and oversee delivery, scaling, and sustained adoption of Agentic & AI solutions. Drive adoption of globally available Agentic & AI platforms, while continuously feeding site requirements, gaps, and enhancement opportunities into global product backlogs. Establish clear governance, benefits tracking, and reporting, including productivity and FTE impact, and maintain a forward‑looking multi‑year Agentic & AI roadmap. Partner with Global DDIT Ops and DSAI teams to ensure data, platform, integration, and security readiness, and to enable data self‑service capabilities for sites. Lead change management and cultural adoption, ensuring employees embrace AI as an augmentation tool and actively use Agentic & AI solutions in their daily work. Essential Requirements
2+ years experience working with AI. Hands‑on experience with Microsoft Copilot (M365 Copilot, Copilot Studio) and enterprise AI assistants. Proven ability to build Agentic solutions using no‑code/low‑code platforms (e.g. Power Platform, Copilot Studio), including prompts, workflows, and basic integrations. Practical understanding of agent orchestration, reusable patterns, and scaling agents in operational environments. Data fundamentals: ability to consume, combine, and interpret data from enterprise systems (e.g. MES, ERP, LIMS); basic understanding of data quality, access, and governance. Basic data science & analytics skills, including KPI definition, descriptive analysis, and interpretation of AI outputs. High learning agility, curiosity and a proactive, solution‑oriented mindset. Excellent communication skills with fluency in English. Desirable Requirements
Pharmaceutical manufacturing functional knowledge. Candidate Skills
Artificial Intelligence (AI) Biostatistics Curious Mindset Data Governance Data Literacy Data Quality Data Science Data Visualization Graph Algorithms Learning Agility Logistic Regression Model Machine Learning (ML) Machine Learning Algorithms NLP (NeuroLinguistic Programming) and GenAI Pandas (Python) Python (Programming Language) R (Programming Language) SQL (Structured Query Language) Statistical Analysis Time Series Analysis Benefits
In addition to a market‑competitive base salary, you will receive an attractive incentive program, a modern company pension scheme, childcare facilities, learning and development opportunities, and worldwide career possibilities within the Novartis group. Minimum gross salary: €59781,96 per year (full‑time basis). Potential market‑oriented excess payment may be offered based on experience.
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At Novartis, you will drive the adoption of Agentic and AI capabilities across site and global TechOps processes by building AI fluency, delivering scalable no‑code/low‑code solutions, and embedding AI‑enabled ways of working that generate measurable productivity and efficiency gains. Key Responsibilities
Drive end‑to‑end adoption of Agentic & AI capabilities across site and global processes, embedding AI‑enabled ways of working into daily operations to deliver measurable productivity gains. Build AI fluency across IT/OT and business teams, establish and lead Agentic/AI champions, and enable hands‑on development of no‑code/low‑code Agentic solutions. Lead bottom‑up use case identification, prioritize high‑value opportunities with site leadership, and oversee delivery, scaling, and sustained adoption of Agentic & AI solutions. Drive adoption of globally available Agentic & AI platforms, while continuously feeding site requirements, gaps, and enhancement opportunities into global product backlogs. Establish clear governance, benefits tracking, and reporting, including productivity and FTE impact, and maintain a forward‑looking multi‑year Agentic & AI roadmap. Partner with Global DDIT Ops and DSAI teams to ensure data, platform, integration, and security readiness, and to enable data self‑service capabilities for sites. Lead change management and cultural adoption, ensuring employees embrace AI as an augmentation tool and actively use Agentic & AI solutions in their daily work. Essential Requirements
2+ years experience working with AI. Hands‑on experience with Microsoft Copilot (M365 Copilot, Copilot Studio) and enterprise AI assistants. Proven ability to build Agentic solutions using no‑code/low‑code platforms (e.g. Power Platform, Copilot Studio), including prompts, workflows, and basic integrations. Practical understanding of agent orchestration, reusable patterns, and scaling agents in operational environments. Data fundamentals: ability to consume, combine, and interpret data from enterprise systems (e.g. MES, ERP, LIMS); basic understanding of data quality, access, and governance. Basic data science & analytics skills, including KPI definition, descriptive analysis, and interpretation of AI outputs. High learning agility, curiosity and a proactive, solution‑oriented mindset. Excellent communication skills with fluency in English. Desirable Requirements
Pharmaceutical manufacturing functional knowledge. Candidate Skills
Artificial Intelligence (AI) Biostatistics Curious Mindset Data Governance Data Literacy Data Quality Data Science Data Visualization Graph Algorithms Learning Agility Logistic Regression Model Machine Learning (ML) Machine Learning Algorithms NLP (NeuroLinguistic Programming) and GenAI Pandas (Python) Python (Programming Language) R (Programming Language) SQL (Structured Query Language) Statistical Analysis Time Series Analysis Benefits
In addition to a market‑competitive base salary, you will receive an attractive incentive program, a modern company pension scheme, childcare facilities, learning and development opportunities, and worldwide career possibilities within the Novartis group. Minimum gross salary: €59781,96 per year (full‑time basis). Potential market‑oriented excess payment may be offered based on experience.
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Site ITOT AI Champion (m/f/d) Arbeitgeber: AT33 (FCRS = AT033) Novartis Pharmaceutical Manufacturing GmbH
Novartis Pharmaceutical Manufacturing GmbH ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem innovativen und dynamischen Umfeld zu arbeiten. Mit einem starken Fokus auf Mitarbeiterentwicklung und einer positiven Unternehmenskultur fördert das Unternehmen kontinuierliches Lernen und Wachstum. Die hybride Arbeitsweise in Schaftenau ermöglicht es den Mitarbeitern, flexibel zu arbeiten und gleichzeitig an spannenden Projekten im Bereich KI teilzuhaben.
Kontaktdaten:
AT33 (FCRS = AT033) Novartis Pharmaceutical Manufacturing GmbH Recruiting-Team
