Senior Consultant – Data & Digital Manufacturing

<div class="content-intro"><p>Proconex is the exclusive&nbsp;<a href="https://www.proconexdirect.com/getmedia/0d6e7f34-2397-4d62-bb73-3cda6e3c6a43/BROCHURE_Emerson-Impact-Partners-Network.pdf" target="blank">Emerson Impact Partner</a>&nbsp;for Emerson Automation Solutions in the Mid-Atlantic region. We&nbsp;provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers—in the Life Sciences, Chemical, Power, Refining, Oil &amp; Gas, Food &amp; Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities.&nbsp;With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver.</p></div><h2>Senior Consultant – Data &amp; Digital Manufacturing (Pharma)</h2> <h3>Role Summary</h3> <p>Senior consultant responsible for defining and guiding data architecture and digital manufacturing strategy for pharmaceutical clients. This role engages directly with customer stakeholders to gather input, shape strategy, and drive alignment and buy-in across IT, OT, quality, and operations.&nbsp; Focused areas are approach to unifying data from disparate systems, providing overall decision management, real-time release, and operational improvement.</p> <h3>Key Responsibilities</h3> <ul> <li>Define enterprise data and digital manufacturing strategies aligned to pharma/GMP requirements</li> <li>Design target architectures, including Unified Namespace (UNS), data models, and integration frameworks, and consolidated, normalized data for analytics</li> <li>Lead customer workshops to capture requirements and build stakeholder alignment</li> <li>Translate current-state environments (MES, SCADA, historians, cloud) into future-state roadmaps</li> <li>Advise on modern, event-driven data architectures to replace legacy, tightly coupled systems</li> <li>Create Data Governance policies consistent with CGMP practices, while enabling maximum flexibility for advanced analysis on data collected</li> <li>Develop executive-level messaging to support decision-making and funding approval</li> </ul> <h3>Qualifications</h3> <ul> <li>8+ years in life sciences (pharma) consulting, digital manufacturing, or data architecture</li> <li>Experience with Unified Namespace (UNS) and industrial data architectures</li> <li>Strong understanding of manufacturing systems (MES, SCADA, historians)</li> <li>Experience in data modeling and enterprise data strategy</li> <li>Experience in cloud based analytical architectures</li> <li>Proven ability to engage and influ