Who are we
Outsized is a high-growth, well-funded disruptor in the fast-evolving talent economy. We focus on full-time contracts (remote or onsite), typically between 1-12 months. We help our talent upskill, so they have better chances of landing their dream projects and charge fair rates.
Who are we looking for
We are looking for an experienced Manufacturing Technology Consultant with deep expertise in IT-OT integration, industrial automation, and digital transformation for an ongoing engagement in the pharmaceutical sector. You will support a global consulting firm's client in advancing digital and technology capabilities across manufacturing and quality functions, with a focus on intelligent manufacturing, data architecture, and AI-driven use cases to unlock operational efficiency and compliance.
Role & Responsibilities:
- Drive implementation and optimisation of manufacturing IT-OT systems, including MES, Historian, OPC (Kepware or equivalent), and non-OPC connectivity.
- Advise on and enhance shopfloor technologies such as SCADA, PLC, DCS, robotics, and edge computing frameworks.
- Support deployment and integration of quality systems including LIMS, QMS, DMS, and lab instrumentation connectivity (e.g., HPLC, Chromeleon).
- Identify and implement digital and AI-driven use cases across manufacturing and quality to improve efficiency and decision-making.
- Define and enable manufacturing data architecture, including IoT core/stream, time-series databases, and ISA-95 aligned systems.
- Collaborate with cross-functional stakeholders across business, IT, and operations to drive execution across multiple manufacturing sites.
Skills & Qualifications:
- 8-15 years of experience in manufacturing technology, digital transformation, or industrial automation.
- Strong expertise in IT-OT integration, MES, Historian systems, and industrial connectivity protocols (OPC/non-OPC).
- Deep understanding of manufacturing technologies such as e-BMR, e-logbook, SCADA, PLC, DCS, and edge computing.
- Experience working with quality systems such as LIMS, QMS, DMS, and lab equipment integration.
- Proven track record in implementing digital/AI use cases within manufacturing or quality environments.
- Strong understanding of manufacturing data architecture (IoT, time-series databases, ISA-95, UNS).
- Prior experience in the pharmaceutical sector preferred; candidates from chemicals or consumer goods may also be considered.
- Familiarity with GxP regulations and their implications in manufacturing environments.
Other Information:
This is a full-time, 12-month engagement supporting an ongoing project in the pharmaceutical sector. The role will require travel across multiple locations, including Ahmedabad, with on-site presence expected in Ahmedabad as part of the engagement.
