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EY

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

EY

. Lead client-facing workstreams in Life Sciences manufacturing transformation, owning plans, deliverables, risks, decisions, and outcomes .

Posted 10/7/2026full-timeUnited StatesSeniorLead💰 $128,400 - $267,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Life Sciences manufacturing transformation, focusing on process design, data integration, and compliance with GxP and data integrity standards. Proven ability to lead client-facing workstreams, manage cross-functional teams, and deliver analytics and AI use cases to enhance operational excellence.

Highest-signal resume keywords
Life Sciences Manufacturing TransformationGxP ComplianceData Integration and AnalyticsClient-Facing LeadershipManufacturing Systems Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Process DesignData MappingFunctional TestingBatch ExecutionElectronic Batch RecordsRecipe ManagementChange ControlQuality AssuranceData Quality ControlsOperational Excellence
Soft Skills
Workshop FacilitationStructured Problem-SolvingClient CommunicationTeam CoordinationDelivery Risk Management
Tools & Technologies
MES/MOMERPLIMSQMSSCADADCS/PLCCloud PlatformsEdge PlatformsIndustrial AnalyticsConnected-Worker Tools
Certifications & Qualifications
Manufacturing Technology CertificationOperational Excellence CertificationProgram Management Certification
Industry Keywords
Pharmaceutical ManufacturingBiotechnologyMedical DevicesData IntegrityProcess Analytical TechnologyContinuous ImprovementMulti-Site DeploymentsPlant ModernizationTechnology TransferComputer System Validation

Tech Stack

Tools & technologies
CloudCyber SecurityERP

About the role

Key responsibilities & impact
  • Lead client-facing workstreams in Life Sciences manufacturing transformation, owning plans, deliverables, risks, decisions, and outcomes
  • Assess production and quality processes, user needs, system landscapes, data flows, performance gaps, and site constraints through workshops, data analysis, and plant engagement
  • Translate manufacturing priorities into process designs, requirements, acceptance criteria, and measurable improvements
  • Develop functional designs for batch execution, electronic batch records, recipe management, genealogy, review by exception, connected-worker workflows, maintenance, and performance management
  • Coordinate integration requirements across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, asset-management systems, and cloud or edge platforms
  • Define and review data mappings, asset and batch context, master-data needs, interface specifications, and data-quality controls for reporting, analytics, and AI use cases
  • Help deliver analytics and AI use cases including process monitoring, predictive maintenance, deviation investigation support, and decision support
  • Incorporate GxP, data-integrity, electronic-record, change-control, and validation or risk-based assurance requirements into deliverables
  • Oversee configuration activities and lead functional testing, defect resolution, deployment readiness, training, cutover support, hypercare, and handover
  • Facilitate sessions across manufacturing, quality, MS&T, engineering, supply chain, IT, OT, data, and technology-vendor teams
  • Escalate decisions and dependencies affecting the broader program
  • Manage workstream scope, schedule, resources, quality, and risks; provide status updates and contribute to estimates, proposals, and follow-on opportunities
  • Coach junior team members, review work products, and capture reusable requirements, design patterns, and delivery lessons
  • Work with pharmaceutical, biotechnology, and medical-device manufacturers to improve production, quality, laboratory, engineering, and technology operations

Requirements

What you’ll need
  • Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or a related discipline
  • At least 7 years of relevant experience in Life Sciences manufacturing, manufacturing technology, operational excellence, industrial data and AI, technology consulting, or a related field
  • Experience leading a client-facing manufacturing, digital, data, or technology workstream through design and at least one implementation or deployment phase
  • Experience working in a pharmaceutical, biotechnology, medical-device, or comparably regulated manufacturing environment
  • Experience translating manufacturing needs into process, functional, data, integration, or testing deliverables and coordinating business and technical contributors
  • Practical understanding of GxP manufacturing and related documentation, change-control, quality, and data-integrity considerations
  • Ability to travel as needed based on business and role requirements; travel can range from 80-100%
  • Practical understanding of Life Sciences manufacturing and connections among production, quality, laboratory operations, engineering, and supply chain
  • Ability to translate operational problems into workflows, functional requirements, user stories, data needs, interface requirements, and testable acceptance criteria
  • Working knowledge of manufacturing systems and IT/OT data flows
  • Familiarity with batch and equipment data, data contextualization, APIs, historians, and industrial connectivity patterns
  • Judgment about analytics or AI usefulness, required data and controls, and use of outputs in manufacturing or quality workflows
  • Strong workshop facilitation, structured problem-solving, client communication, team coordination, and delivery-risk management skills
  • Preferred: experience with drug substance, drug product, biologics, sterile manufacturing, medical devices, or clinical-to-commercial scale-up
  • Preferred: delivery experience with MES/MOM, electronic batch records, recipe management, connected-worker tools, industrial analytics, or manufacturing data platforms
  • Preferred: familiarity with ISA-88/IEC 61512, ISA-95/IEC 62264, OPC UA/IEC 62541, MQTT/Sparkplug, or unified-namespace approaches
  • Preferred: awareness of OT cybersecurity practices informed by ISA/IEC 62443 or NIST SP 800-82
  • Preferred: familiarity with Process Analytical Technology and continuous improvement practices
  • Preferred: experience supporting computer system validation or risk-based computer software assurance
  • Preferred: experience with multi-site deployments, plant modernization, technology transfer, or reusable solution assets
  • Preferred: relevant program-management, operational-excellence, cloud, data, or manufacturing-technology certification

Benefits

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