11 Nov
|
Amaris Consulting | Part of Mantu
|
Winnipeg
11 Nov
Amaris Consulting | Part of Mantu
Winnipeg
We are looking for a
Senior MES and Manufacturing Systems Integration Consultant
to design, implement and support manufacturing data and execution systems in a regulated pharmaceutical or biotechnology environment.
This role sits between the plant floor and the enterprise layer. You will work across process historians, supervisory systems, manufacturing execution and ERP connectivity, helping clients build reliable, compliant and scalable data flows from equipment through to SAP.
Location:
Canada
Working hours:
Must be available to start work between 6:00 and 7:00 AM ET to ensure overlap with the France-based team.
Industry:
Pharmaceutical and Biotechnology (GMP-regulated)
Key Responsibilities
Gather and document functional and technical requirements with process, quality, automation and IT stakeholders
Design interfaces and data flows across the historian, supervisory, MES and SAP layers, following ISA-95 principles
Configure, test and document solutions, and support commissioning and qualification
Produce validation documentation in line with GMP and computerised system validation (CSV) expectations
Provide second and third line support, including root cause analysis for incidents
Advise on system architecture and recommend improvements to data integrity, reliability and scalability
Share knowledge with client teams and mentor junior consultants
Requirements
Hands-on experience in
at least three of the four
technologies listed below, with working knowledge of the fourth:
1.- Aspen InfoPlus.21 (IP.21) with Aspen Production Record Manager (APRM)
Configure and maintain IP.21 tags, records and data collection from plant equipment
Set up and support APRM for batch and production record capture, including batch genealogy and reporting
Troubleshoot data quality, historian performance and interface issues
2.- Ignition (Inductive Automation)
Build and support Ignition projects, including tag providers, Perspective or Vision screens, scripting and database connections
Integrate Ignition with PLCs and other systems through OPC UA and related protocols
Understand how Ignition fits alongside a historian and an MES layer
3.- Siemens MES (Opcenter Execution Pharma or SIMATIC IT)
Configure and support electronic batch records, master batch records, recipes and workflows
Contribute to the design, build, testing and deployment of the MES, including integration with equipment and enterprise systems
Support go-live and hypercare activities
4.- SAP Plant Connectivity (SAP PCo)
Configure SAP PCo agents, sources and destinations to move shop floor data into SAP
Work with SAP Manufacturing Integration and Intelligence (MII) or SAP Digital Manufacturing, and the related ERP integration points
Diagnose connectivity, message flow and mapping issues between the plant and SAP
A minimum of
5 years
in manufacturing systems, MES or industrial data roles, ideally within pharmaceutical,
biotechnology or medical device manufacturing
Working knowledge of GMP, data integrity principles and computerised system validation
Strong understanding of OPC, SQL and general industrial networking concepts
Transparent communication skills and comfort working with both technical and business stakeholders
Fluent English; French is an advantage for roles based in Quebec
Based in Canada and available to work Eastern Time hours
Experience with additional historians or MES platforms
Exposure to data science, analytics or digitalisation initiatives built on manufacturing data
Experience across a full MES lifecycle, from design through to go-live
Expected Compensation Range 120K. The final compensation offered will be
determined based on the candidate’s level of experience, skills, and qualifications , in compliance with applicable pay transparency requirements.
Canadian Experience Requirement No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.
Artificial Intelligence (AI) Disclosure No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.
Statement Regarding Job Vacancy This position is a
Job creation,
created to support ongoing project needs.
Recruitment Process & Feedback Timeline Candidates will receive
feedback on their application within a maximum of 45 days
from the date of application or from their most rec
📌 Sr MES (Winnipeg)
🏢 Amaris Consulting | Part of Mantu
📍 Winnipeg