Jobs at Avantor

Supports global internal audits by performing SOX, financial, operational, and compliance audit fieldwork; testing SAP controls; evaluating risks and processes; preparing workpapers, findings, and reports; tracking remediation actions; and coordinating with stakeholders. The role assesses P2P, O2C, R2R, inventory, manufacturing, and shared service center controls while recommending process improvements.

Develop and deploy generative AI, NLP, chatbot, and virtual assistant solutions. Design, train, fine-tune, validate, and optimize large language models and neural networks using Python and related technologies. Integrate NLP capabilities with SAP, Salesforce, SharePoint, and ServiceNow, while building API solutions and establishing AI development standards. Collaborate with engineering, data science, and business teams to deliver scalable solutions and stay current with advances in machine learning and generative AI.

Designs, develops, deploys, and optimizes NLP chatbots, virtual assistants, and generative AI solutions. Responsibilities include selecting and training language models, preprocessing data, validating and fine-tuning models, integrating solutions with enterprise platforms, monitoring performance, and collaborating with technical and business teams. The role also establishes AI development standards, supports autonomous agents, and evaluates emerging AI technologies.

Analyzes supplier sustainability data, monitors responsible sourcing compliance, coordinates supplier engagement, maintains emissions and audit information, supports scorecards and regulatory campaigns, and prepares reports on supplier performance. The role collaborates with internal stakeholders and suppliers to improve data accuracy, address nonconformance issues, track sustainability standards, and support supply chain decarbonization and responsible sourcing disclosures.

Architects skills, analytics models, and decision data models for an intelligent skills workbench. Translates business needs into technical specifications, designs SAP-based integrations, prepares documentation, and oversees functional testing and QA. Collaborates with architects, developers, customers, and cross-functional teams; supports discovery workshops and presentations; and maintains operational controls. Requires AERA architecture experience, SAP configuration and integration expertise, BI reporting, API integration, databases, prompt engineering, and Agile delivery experience.

Manages and maintains the AMEA CRM system and related modules, including SAP C4C integrations, user access, troubleshooting, master data, approval matrices, reporting, audits, and system enhancements. Provides Level 1 user support, coordinates escalations, trains users on CRM analytics and reporting, gathers improvement feedback, and promotes system adoption across Sales, Customer Service, and Product/Marketing teams.

Leads end-to-end data engineering initiatives spanning Fivetran ingestion, dbt transformations, Snowflake warehousing, and Power BI consumption. Designs scalable data models and pipelines, troubleshoots ELT and SQL issues, documents technical solutions, and partners with business stakeholders. Mentors engineers, establishes development standards, supports CI/CD, and pilots GenAI applications for documentation, testing, data quality, and natural-language querying.

Apply data science to supply chain planning and inventory management: develop analytical tools, optimization models, and replenishment strategies using SAP data, ETL pipelines, Power BI, and statistical methods to improve processes and deliver financial value.

Builds scalable ETL pipelines, cloud and data-lake integrations, and analytical tools supporting global supply chain planning and inventory optimization. Applies statistical methods, machine learning, AI-assisted development, and data visualization to portfolio segmentation, product lifecycle management, replenishment strategies, and decision support. Collaborates with stakeholders, leads complex data engineering projects, improves database performance, and promotes secure, governed, enterprise-wide data accessibility.

Architects and documents skills, data models, and technical solutions for a decision intelligence platform. Translates business requirements into specifications, designs SAP integrations and BI solutions, prepares blueprints, and oversees functional testing and QA. Collaborates with architects, developers, customers, and cross-functional teams through workshops and implementation activities. Supports CI/CD, deployment, configuration management, operational controls, production stability, and software delivery best practices while applying prompt engineering and API integration expertise.

The Manager Application Development - SAP MDG leads SAP CFIN and MDG implementations, ensuring quality deliverables and governance while managing resources and stakeholder communication.

The LIMS Master Data Specialist manages LIMS master data, assists with validation, develops test plans, and ensures product quality.

This role focuses on the implementation and management of SAP MDG projects, coordinating software deployments, optimizing processes, and ensuring effective communication between teams and external partners.