Digital Analyst - MES

Employer
  • Gables Search Group

Job Description

The Digital Analyst will deliver value at MA Biologics Operations plants and warehouses by leveraging existing and emerging digital technologies. As a member of site Data, Digital, and Technology (DD&T) team, you will collaborate with our business partners to transform the facility into a future-facing, highly efficient and effective organization.
This person will:
• drive digital innovation & automation and new ways of working with progressive technologies and platforms e.g. MES, IoT, AI companion, AR/VR/XR, etc.
• actively participate in the deployment and support of MES and above mentioned technologies by collaborating with cross-functional teams.
ACCOUNTABILITIES:
 Work with MES system owner and business owner to prioritize MES projects and operations
 Engage with MBR designers, IT infrastructure team, Quality, Validation and global teams to
coordinate and deploy technical aspects of MES system such as interfaces, enhancements
and any fixes.
 Manage MES incidents/tickets and escalate issues to MES System Owner.
 Work with site DD&T team and business leaders to identify any relevant use cases and continuous improvement opportunities for existing technology solutions or brainstorm solutions to automate and simplify repetitive tasks
 Be knowledgeable of existing and emerging digital technology platforms and their application to plant/warehouse setting specifically in manufacturing operations, engineering, and supply chain
 Apply a structured agile methodology for system changes and support change management activities
 Maintain/develop strong relationships with stakeholders to facilitate successful collaborations
CORE ELEMENTS RELATED TO THIS ROLE:
MES PAS-X; Digital transformation; Change agent; Problem solver.

DIMENSIONS AND ASPECTS:
Technical/Functional (Line) Expertise (Breadth and depth of knowledge, application and complexity of technical knowledge)
Software project lifecycle and experience in MES PAS-X.
Experience in Computer System Validation (CSV) for manufacturing systems.
Industry 4.0 technologies such as IoT, RPA, AI companion, AR/VR/XR, Biometrics, Data Analytics, Predictive technologies, etc.
Exhibit a continuous improvement (CI) mindset to automate and simplify repetitive tasks.
Be able to independently troubleshoot issues (where to look and what to look for), determine root-
case (e.g. by process of elimination), and implement resolution by “putting two and two together” i.e. draw a conclusion based upon given evidence.
Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change)
Ability to persuade others to follow. Career driven, self-motivated, willing to learn new technologies and skills.
Decision-making and Autonomy (The capacity and authority to make organizational decisions, autonomy in decision-making, complexity of decisions, impact of decisions, problem-solving)
Propose technology solutions, once approved by site & DD&T leadership, the candidate must execute/deliver with autonomy. Decisions will impact plant of ~800 colleagues and could lead to improvements across network of plants.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
 Bachelor's degree in information technology, computer science, engineering, or a related study (required)
 Working knowledge and experience with following technologies or areas (required):
o MES System such as PAS-X, Syncade, POMSnet, etc.
o IT infrastructure and virtual environment
o System integration and interfaces
 Working knowledge and experience with one of the following technologies (preferred):
o SAP ERP system
o 3D Tour or any of the AR/VR/XR technology product(s)
o RPA tool such as UIPath
o Biometrics based authentication or equivalent
o AI Companion
o IoT technology and associated product(s)
o Data Anlytics data lake
 Overall 5 years experience at a Pharmaceutical Biologics Manufacturing facility or in a consulting role (preferred).
 Familiarity with following SDLC and GxP processes used in Pharmaceutical industry (preferred):
o Computerized Systems Validation (CSV)
o 21 CFR Part 11 regulations and Data Integrity compliance
 Familiarity with following tools and processes (preferred):
o ServiceNow – ITIL processes such as Incident Management, Change Management, Request Management, Asset and Configuration Management (CMDB)
o Veeva EDMS – Document Workflows
o MS Visio and Project
NO SPONSORSHIP AVAILABLE
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