Senior Manager – Life Sciences Supply Chain Manufacturing Ops, AI Transformation Delivery

. Lead end-to-end Life Sciences manufacturing transformations from assessment and mobilization through design, deployment, stabilization, and value realization .

Posted 10/7/2026full-timeChicago • United StatesSenior💰 $150,400 - $343,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Life Sciences manufacturing transformations, integrating technology and operational excellence while ensuring compliance with GxP standards. Capable of managing multidisciplinary teams and delivering client-facing programs with a focus on quality, risk management, and value realization.

Highest-signal resume keywords

Life Sciences Manufacturing TransformationGxP ComplianceTechno-Functional LeadershipProcess Design and IntegrationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Manufacturing TechnologyOperational ExcellenceData EngineeringAI Use CasesProcess MonitoringElectronic Batch RecordsChange ManagementQuality WorkflowsIntegration of MES/MOM and ERPManufacturing Data Foundations

Soft Skills

Executive CommunicationStructured Problem-SolvingFacilitationNegotiationDecision-Making

Tools & Technologies

MES/MOMERPLIMSQMSSCADADCS/PLCCloud PlatformsEdge PlatformsOPC UAAPIs

Industry Keywords

PharmaceuticalBiotechnologyMedical DeviceRegulated EnvironmentData IntegrityChange ControlRisk-Based AssuranceDigital TwinsPredictive MaintenanceOperational Excellence

Tech Stack

Tools & technologies

CloudERP

About the role

Key responsibilities & impact

Lead end-to-end Life Sciences manufacturing transformations from assessment and mobilization through design, deployment, stabilization, and value realization
Build relationships with senior manufacturing, quality, MS&T, engineering, supply chain, digital, and IT/OT stakeholders; establish governance and drive decisions
Translate manufacturing priorities into workplans and outcome measures
Direct multidisciplinary teams across process design, MES/MOM, automation, data engineering, AI, architecture, integration, quality, change management, testing, and deployment
Lead solution and process design for batch and discrete execution, electronic batch records, eDHRs, recipes and routings, genealogy, review by exception, maintenance, quality workflows, and plant performance management
Guide integration across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, asset-management systems, and cloud or edge platforms
Establish manufacturing data foundations, including data models, asset and process context, master data, metadata, lineage, governance, and secure IT/OT connectivity
Shape analytics and AI use cases such as process monitoring, predictive maintenance, deviation investigation support, digital twins, and decision support
Partner with quality and validation teams on GxP controls, data integrity, electronic records, change control, and risk-based assurance
Manage scope, schedule, budget, staffing, dependencies, quality, risks, issues, and contractual commitments; guide testing, cutover, training, adoption, and handover
Connect digital solutions to daily management, operational excellence, workforce capability building, and sustained process improvement
Coach and develop Managers and delivery teams; contribute reusable methods and identify follow-on opportunities

Requirements

What you’ll need

Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or a related discipline
No less than 10+ years of relevant experience spanning Life Sciences manufacturing, manufacturing technology, operational excellence, industrial data and AI, technology consulting, or a related field
Experience leading complex manufacturing transformation or technology-enabled improvement initiatives in a pharmaceutical, biotechnology, medical-device, or comparably regulated environment
Experience delivering client-facing programs through design, implementation, deployment, and stabilization, with accountability for governance, resources, quality, financial performance, and risk
Experience leading senior stakeholders and multidisciplinary teams across business, functional, data, and technology workstreams
Experience translating manufacturing requirements into process, system, data, integration, security, and technical requirements, with traceability through testing and deployment
Practical understanding of GxP manufacturing and relevant quality, documentation, change-control, and data-integrity considerations
Ability to travel as needed; travel can range from 80-100%
Strong knowledge of Life Sciences manufacturing processes
Techno-functional leadership across plant operations and technology delivery
Working knowledge of OPC UA (IEC 62541), MQTT/Sparkplug, APIs, historians, asset and batch contextualization, and unified-namespace approaches
Judgment regarding analytics or AI use, evidence, human review, and quality oversight
Executive communication, structured problem-solving, facilitation, negotiation, and decision-making under ambiguity
Commercial and delivery discipline across estimates, staffing, engagement economics, change control, risk management, and value realization

Benefits

Comp & perks

Medical and dental coverage
Pension plan
401(k) plan
Wide range of paid time off options
Professional growth
Inclusive culture
Reasonable accommodation for qualified individuals with disabilities, including veterans with disabilities