Business Analyst / Functional Architect – Pharma Manufacturing
Summary
Senior Business Analyst designs pharma manufacturing systems, translating complex processes into functional requirements for enterprise recipe management and integration across MES, ERP, LIMS, and compliance-driven workflows.
- 5–10 years of professional experience as a Business Analyst, Functional Architect, Functional Consultant or similar role within Pharmaceutical, Life Sciences or another highly regulated manufacturing environment.
- Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent practical experience.
- Hands-on understanding of product recipe design and parameter definition within a manufacturing environment.
- Practical experience with manufacturing systems such as MES, PLM, LIMS, ERP or similar platforms.
- Proven experience working on system integration projects involving technologies/systems such as:
- Emerson / DeltaV
- SAP S/4HANA
- MES
- LIMS
- PLM
- ELN
- ERP
- or comparable manufacturing platforms.
- Strong understanding of pharmaceutical manufacturing processes, ideally covering drug substance and/or drug product manufacturing.
- Ability to analyse complex business processes and translate business needs into structured functional and non-functional requirements.
- Experience creating EPICs, User Stories, functional specifications and process documentation.
- Strong understanding of system and data integration concepts.
- Ability to analyse and document end-to-end business processes and cross-system data flows.
- Excellent communication and stakeholder management skills.
- Proven ability to collaborate effectively with global, cross-functional and distributed teams.
- Strong analytical and problem-solving mindset.
- Ability to facilitate discussions, manage different stakeholder perspectives and de-escalate conflicts while keeping teams focused on outcomes.
- Knowledge of ISA-95 and/or ISA-88 principles.
- Understanding of enterprise-level manufacturing integration architectures.
- Experience with SAFe Agile methodologies.
- Strong understanding of data interoperability, reporting standards and business process modelling/mapping.
- Knowledge of SQL databases, relational data structures and reporting systems.
- Experience aligning architecture, business processes and solution design across multiple IT domains.
- Experience working on global or multi-site manufacturing integration programmes.
- Exposure to Generative AI / Machine Learning applications in manufacturing.