The Data Management Lead will be responsible for identifying
required data architectures/data models and managing the data projects (e.g.
Historian Project, Alarm Management etc.) within the overall Foundry program.
Role Responsibilities:
Collaborate with the Lilly site team, Data Integrity
champion, Engineering Tech Centre and Technical services groups to identify
required data architectures and data models
Participate in overall data architecture design
Development of data management requirement specification
documents.
Develop scope and delivery model for the data management
projects
Management of the data management projects
Management of the System Integrators executing the data
management projects.
Work with Lilly technical departments to develop process and
asset templates in support of data models
Identify any equipment specific data that needs to be
captured for maintenance, operations etc.
Work closely with the Foundry automation technical office on
data management in relation to information security
Collaborate with the Automation Project teams to ensure data
management solutions are aligned with project system architecture and schedule
Collaborate with the Digital/MES work-stream leads to align
the data management solutions
Communicate progress, issues, and needs to the Foundry
automation program manager
Responding to system integrator technical queries
Support the development of testing strategies
BS Engineering (or equivalent experience)
8+ years working data management experience in the
Pharmaceutical Industry (preferable in API/bulk manufacturing)
Aveva
PI installation and configuration experience in the following areas: PI site
infrastructure, data archive, and interfaces
PI
Asset Framework: Elements, Analyses, Event Frames, PI Notifications
PI
Vision
Experience
with integration of Aveva Pi with automation systems (Preferable Emerson DeltaV
and Rockwell)
Experience
with integration of Avena PI with OT systems e.g. KepserverEx platform and MQTT
message broker e.g. HiveMQ
Logmate
or alternative alarm management system experience
Previous
Pharmaceutical Automation Large Project/Program experience/expertise
Exceptional
teamwork abilities
Strong
knowledge of GMP’s, regulatory requirements and computer system validation
principles
Excellent
written and verbal communication skills for both technical and non-technical
audiences
Strong
knowledge of GMP’s, regulatory requirements and computer system validation
principles
Excellent
written and verbal communication skills for both technical and non-technical
audiences