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Kundl, Tirol, Österreich
Onsite
Band
Level 4
Job Description Summary
Location: Kundl (Austria), #LI-Hybrid 12 days/month in office
Job Description
Key Responsibilities:
AI Adoption & Value Delivery: Own the AI / Agentic roadmap for the site, 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; Lead bottom up use case identification, prioritize high value opportunities with site leadership, and oversee delivery, scaling, and sustained adoption of Agentic & AI solutions; Ensure AI initiatives deliver measurable productivity, efficiency, and/or FTE impact, tracked against a multi‑year roadmap.
AI Fluency, Community & Change: Drive AI adoption and upskilling and building AI fluency across the entire site, IT/OT and business teams, establish and lead Agentic/AI champions, and enable hands on development of no code / low code agentic solutions; Lead change management and cultural adoption, ensuring employees embrace AI as an augmentation tool and actively use Agentic & AI solutions in their daily work; Establish and lead a network of Site AI / Agentic Champions.
Platforms, Solutions & Enablement: Build and deploy agentic solutions using no‑code / low‑code platforms (e.g. Power Platform, Copilot Studio), including prompts, workflows, and basic integrations; Drive adoption of globally available Agentic & AI platforms, while continuously feeding site requirements, gaps, and enhancement opportunities into global product backlogs; Apply reusable agentic patterns, orchestration concepts, and scalable solution designs suitable for operational environments.
Data, Governance & Partnerships: 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; Enable data self‑service capabilities at site level while respecting data quality, access, and governance standards. Establish clear governance, benefits tracking, and reporting, including productivity and FTE impact, and maintain a forward looking multi year Agentic & AI roadmap.
Essential Requirements:
2+ years of relevant experience in data, analytics, digital, or AI‑enabled roles with a strong applied/business focus
Hands on experience with Microsoft Copilot (M365 Copilot, Copilot Studio) and enterprise AI assistants.
Experience in AI and GenAI, no-code / low-code solution design, data literacy & data visualisation, AI value realisation and benefits tracking.
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 Agentic AI concepts, orchestration, reusable solution 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.
Excellent communication skills in both English and German, strong curiosity, good collaboration skills, passion for AI and guiding people in learning and upskilling in this field
Desirable requirements:
Experience in pharmaceutical manufacturing processes would be an advantage
Please ensure you submit your CV in English as part of this application.
Commitment to Diversity & Inclusion:
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Why Novartis?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
What you will receive:
In addition to a market-competitive base salary, we offer an attractive incentive program, a modern company pension scheme, childcare facilities, learning and development opportunities as well as worldwide career possibilities within the Novartis group.
In accordance with Austrian law, we are obliged to disclose the minimum salary as stated in the collective bargaining agreement. For this position the minimum gross salary is € 65.605,54/year (on a full-time basis). We also offer a potential market oriented excess payment in line with your experience and qualifications.
Adjustments for Applicants with Disabilities:
If because of a medical condition, physical disability or a neurodiverse condition you require an adjustment during the recruitment process, please reach out to disabilities.austria@novartis.com and let us know the nature of your request as well as your contact information. The support which we can provide will include advice on suitable positions as well as guidance at all stages of the application process. Austrian law provides candidates the opportunity to involve the local disability representative, Behindertenvertrauensperson (BVP), in the application process. If you would like to request this, please let us know in advance as a note on your CV.
Skills Desired
Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis