Senior Life Sciences Supply Chain Manufacturing Ops – AI Transformation Delivery

. Assess manufacturing and quality workflows, user needs, system interfaces, equipment data, and current-state pain points through site observations, interviews, workshops, and data review .

Posted 10/7/2026full-timeUnited StatesSenior💰 $97,300 - $178,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in assessing and documenting manufacturing and quality workflows, with a strong focus on digital manufacturing solutions and compliance in regulated environments. Proficient in collaborating with cross-functional teams to implement MES/MOM systems and ensure data integrity and traceability.

Highest-signal resume keywords

MES/MOM ImplementationGxP ComplianceData Mapping and IntegrationFunctional and Integration TestingManufacturing Systems Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Process MappingRequirements DocumentationData Quality AssessmentConfiguration ManagementTest Script DevelopmentBatch and Equipment Data InterpretationAPI SpecificationsIndustrial ConnectivitySource-to-Target MappingsChange Control

Soft Skills

CollaborationCommunicationProblem-SolvingStakeholder EngagementTraining and Support

Tools & Technologies

LIMSQMSSCADADCS/PLCHistoriansConnected-Worker SolutionsAutomation SolutionsIndustrial Data PlatformsElectronic Batch RecordsPlant Performance Reporting

Certifications & Qualifications

Relevant Platform CertificationCloud CertificationData CertificationAutomation CertificationAgile Certification

Industry Keywords

Life Sciences ManufacturingPharmaceuticalBiotechnologyMedical DeviceRegulated EnvironmentGxPProcess Analytical TechnologyContinuous ImprovementRisk-Based Software AssuranceData-Integrity Controls

Tech Stack

Tools & technologies

CloudCyber SecurityERP

About the role

Key responsibilities & impact

Assess manufacturing and quality workflows, user needs, system interfaces, equipment data, and current-state pain points through site observations, interviews, workshops, and data review
Document process flows, user stories, functional requirements, data mappings, interface requirements, controls, and acceptance criteria for digital manufacturing solutions
Support design and implementation of MES/MOM, electronic batch records and eDHRs, recipe and routing management, batch and unit genealogy, review by exception, connected-worker workflows, and plant performance reporting
Trace information across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, and asset-management platforms; identify data gaps and integration dependencies
Develop and review equipment and batch hierarchies, source-to-target mappings, data-quality rules, and contextualized datasets
Work with solution architects and engineers on interface specifications, APIs, industrial connectivity, and plant-edge-enterprise data movement
Configure or prototype solution components and document design decisions
Prepare and execute functional and integration test scripts, record defects, support resolution and retesting, and maintain requirements-to-test traceability
Support deployment readiness, cutover, user training, hypercare, and handover
Partner with quality and validation teams on GxP, data integrity, electronic records, change control, and computer system validation or risk-based assurance documentation
Contribute to analytics and AI use cases by assessing source-data quality, defining manufacturing context, validating outputs, and documenting human-review needs
Communicate progress, risks, dependencies, and recommended next steps to client counterparts and engagement leaders; coordinate defined tasks with junior colleagues

Requirements

What you’ll need

Bachelor's degree in engineering, life sciences, manufacturing, information systems, computer science, supply chain, or a related discipline
At least 3 years of relevant experience in Life Sciences manufacturing, manufacturing systems, automation, industrial data, systems implementation, technology consulting, or a related field
Experience working with manufacturing or quality processes in a pharmaceutical, biotechnology, medical-device, or comparably regulated environment
Experience producing technical or functional delivery artifacts, such as requirements, process maps, data mappings, interface specifications, configuration documents, test scripts, or deployment materials
Experience collaborating with both operational stakeholders and technical delivery teams to investigate requirements, resolve issues, or implement a solution
Ability to travel as needed based on business and role requirements; travel can range from 80-100%
Hands-on functional, configuration, integration, testing, or support experience with manufacturing, quality, laboratory, automation, or industrial-data solutions
Ability to identify source systems, interpret batch and equipment data, document mappings and interfaces, investigate data-quality issues, and explain OT-to-enterprise information flows
Understanding of regulated delivery, documentation, traceability, controlled changes, and reliable data for GxP activities
Ideally: experience with MES/MOM, eBRs/eDHRs, recipe management, LIMS, QMS, historians, SCADA, DCS/PLC, connected-worker solutions, or industrial data platforms
Ideally: familiarity with ISA-88/IEC 61512, ISA-95/IEC 62264, OPC UA, or MQTT/Sparkplug
Ideally: exposure to GxP computer system validation, risk-based software assurance, data-integrity controls, electronic records, or OT cybersecurity
Ideally: familiarity with Process Analytical Technology and continuous improvement practices
Ideally: experience supporting manufacturing or quality analytics/AI use cases
Ideally: relevant platform, cloud, data, automation, Agile, or manufacturing certification

Benefits

Comp & perks

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