Technical Product Lead, Manufacturing Execution System (MES)
Oxford Nanopore
Oxford Nanopore has developed a new generation of nanopore-based sensing technology for faster, information-rich, accessible and affordable molecular analysis. The technology is used to understand and characterise the biology of humans, animals, plants, bacteria, viruses, and diseases such as cancer. By enabling biological insights, we strive to improve life on Earth and beyond.
The Role
We are seeking a Technical Product Lead to take ownership of our Manufacturing Execution System (MES), supporting the manufacture of our sequencing products.
This role will be responsible for the technical integration, operational effectiveness, compliance, and technical coherence of our newly commissioned MES SaaS platform, NoMuda VisualFactory.
Reporting to the Manufacturing Platform Owner, you will work closely with our in house development teams responsible for bespoke systems supporting tracking, traceability, and control across complex manufacturing processes.
The MES platform is central to our digital manufacturing strategy, enabling manufacturing process engineers to safely and consistently self configure workflows while ensuring compliance with GAMP standards and seamless integration with internal systems.
You will collaborate closely with NoMuda implementation and support teams, internal software engineering teams, manufacturing process engineers across Production and Tech Transfer, and Quality, Validation, and Regulatory stakeholders.
Key Responsibilities
MES Ownership & Operations
1. Drive an effective, coherent integration between existing manufacturing systems and the new MES, NoMuda Visual Factory
2. Own the operation and lifecycle management of the NoMuda VisualFactory MES platform
3. Ensure platform availability, performance, security, and data integrity of the MES
4. Ensure operational processes, including support, incident management, change control, and release coordination, conforms to ONT's internal processes
5. Act as the primary technical owner for incidents and enhancements for VisualFactory, and engagement with NoMuda
Technical Coherence
6. Maintain technical coherence across VisualFactory and integrated in-house systems
7. Define and govern integration patterns, data flows, APIs, and event-driven interactions
8. Identify and mitigate technical, architectural, and operational risks throughout the system’s lifecycle
Configuration Strategy & SME Enablement
9. Collaborate with the Manufacturing Platform Owner to define and implement patterns for self-service configuration by process engineers, to ensure solutions are scalable, maintainable, and compliant
Continuous Improvement & Data-Driven Decisions
10. Work alongside software development teams to guide design decisions and implementation approaches
11. Identify and implement process improvements and operational efficiencies
12. Collect and analyse platform usage statistics and user feedback
13. Monitor key performance indicators (KPIs) for platform health, adoption, and value
Required Skills & Experience
Technical & Platform Experience
14. Experience managing complex, integrated digital manufacturing platforms
15. Experience managing SaaS platforms
16. Solid understanding of software architecture, integrations, and data management
17. Experience working with software development teams (Agile or hybrid environments)
18. Experience working directly with manufacturing process engineers
Manufacturing & Collaboration Skills
19. Experience working directly with manufacturing SMEs and process engineers
20. Experience working collaboratively with SaaS vendors
21. Strong stakeholder engagement and communication skills across technical and non-technical audiences
Desirable Experience
22. Strong understanding of manufacturing systems in regulated environments
23. Experience of complex medical device, biologics, biopharma manufacturing or development.
24. Experience working with NoMuda VisualFactory or similar low-code MES platforms
25. Experience with compliance standards such as GAMP, ISO 13485, or computer system validation (CSV) in medical device or life sciences environments