Lead enterprise strategy and implementation of Digital Twin and Intelligent Manufacturing capabilities across AstraZeneca’s Global Technical Operations.
Compensation
The annual base pay for this position ranges from $161,252.80 - $241,879.20 . Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Define and maintain enterprise strategy for Digital Twins, Process Twins, Process Intelligence, Modeling, Simulation, and Intelligent Manufacturing across GTO
Establish and evolve multi-year capability roadmap aligned with GTO priorities
Identify strategic opportunities to improve technology transfer, process characterization, and manufacturing readiness
Develop capability maturity models, adoption frameworks, and value realization approaches
Translate business needs into actionable capability roadmaps, standards, and implementation approaches
Analyzes and designs sequence of operations and work flow to improve efficiencies in plant and production facilities and equipment layouts; and establishes methods for maximum utilization of production facilities and personnel.
Compensation
Primary Salary Range: $161,000.00 - $241,400.00
Responsibilities
Analyzes and designs sequence of operations and workflow to improve efficiencies in plant and production facilities and equipment layouts
Establishes methods for maximum utilization of production facilities and personnel
May establish or assist in establishing accident prevention measures and may manage training programs for personnel concerning all phases of production operations
Conducts studies pertaining to cost control, cost reduction, inventory control, and production record systems
Develops and implements plans and programs for facility modifications and revisions to operating methods
Lead enterprise strategy and technology direction for Digital Twin and Intelligent Manufacturing capabilities across Global Technical Operations.
Compensation
The annual base pay for this position ranges from $161,252.80 - $241,879.20 . Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Define and maintain the enterprise strategy for Digital Twins, Process Twins, Process Intelligence, Modeling, Simulation, and Intelligent Manufacturing capabilities across GTO.
Establish and evolve a multi-year capability roadmap aligned with GTO priorities, Digital Tech Transfer strategy, manufacturing modernization initiatives, and enterprise digital objectives.
Identify strategic opportunities to improve technology transfer, process characterization, scale-up, manufacturing readiness, process robustness, operational performance, and business value.
Develop capability maturity models, adoption frameworks, and value realization approaches to support enterprise scaling.
Translate business needs and manufacturing challenges into actionable capability roadmaps, standards, investment priorities, and implementation approaches.
Requirements
Master’s or PhD in Engineering, Manufacturing Systems, Chemical Engineering, Bioprocess Engineering, Data Science, Computer Science, Applied Mathematics, Operations Research, Life Sciences, or a related technical discipline.
The Process Simulations Engineer designs and maintains quantitative models to forecast business outcomes and stress-test strategic scenarios across GE Vernova's Greenfield and Brownfield capital projects.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $91,700.00 and $152,700.00.
Responsibilities
Develop high-fidelity simulations replicating complex business environments
Use models to stress-test initiatives, quantify risk, and project the impact of variables
Convert raw, stochastic simulation outputs into clear, objective, decision-ready recommendations
Support the lean transformation roadmap by validating process and capacity scenarios
Build high-value business cases for capital investment
Requirements
Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field
Nice to have: experience supporting Greenfield site design
Nice to have: Brownfield capacity/efficiency projects
Develop and deliver advanced digital solutions that support the design, construction, commissioning and operation of complex nuclear facilities, working at the intersection of engineering, software development, data analytics and advanced modeling.
Compensation
Expected compensation range is between $79,000-$132,000 annually depending on skills, experience, and geographical location.
Responsibilities
Design, develop and implement software applications and digital solutions to address complex engineering, project delivery and operational challenges.
Develop reusable digital tools and applications that improve efficiency, reduce risk and support informed decision-making.
Develop software using programming languages such as Python, C#, Java and SQL.
Design and implement data-driven applications that integrate information from multiple engineering, project and operational systems.
Develop prototypes and proof-of-concept solutions to demonstrate the potential value of new digital technologies.
Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Requirements
Nice to have: Experience with Discrete Event Simulation modeling
Mainspring Energy is looking for a Senior Industrial Engineer to help design production lines for linear generators that change how the world gets dependable, clean power.
Responsibilities
End-to-end design of assembly and production lines
Break the work down station by station: define work content, sequence, and precedence for each operation
Calculate takt time, cycle times, number of stations, and operator headcount needed to meet volume targets
Perform line balancing to reduce idle time and bottlenecks and get the most labor and equipment out of the line
Design the line flow and layout, including station placement, buffers, WIP strategy, and operator movement
Requirements
Bachelor's or Master's degree in Industrial, Mechanical, or Manufacturing Engineering, or a related field
Assembly Engineer responsible for conceptualizing, planning, designing, developing, measuring, controlling, implementing and improving assembly processes for new projects at Magna Powertrain.
Responsibilities
Conceptualizar, cotizar, planear, diseñar, desarrollar, medir, controlar, implementar y mejorar los procesos de ensamble requeridos para nuevos proyectos en MPT.
Experiencia requerida en lanzamiento de nuevos proyectos, seguimiento con proveedores en fases de diseño, desarrollo y construcción de nuevos equipo / maquinaría.
Conocimiento del proceso específico, diseño e implementación de error/mistake proofing y nuevos equipos, conocimiento de APQP, dominio de herramientas de manufactura esbelta, AIAG, PFMEA, DFMEA, GD &T, MSA, CAD, SPC, PPAP, MAFACT, MQS, Core tools; funcionamiento de producto y sus interfaces de afectación con vehículo y proceso de ensamble; manejo avanzado de Autocad y Solidworks, Nivel intermedio en simulaciones del flujo de proceso en software FlexSim.
Específicos de Ensamble: probadoras de fugas, prensados, aplicaciones de selladores, soldadura (Laser, CD Welding), herramientas de torque, dispositivos de manipulación de componentes, ribeteado, instalación de snap rings, automatización, llenado de aceite, automatización de líneas
MS Office, MS Project, Power Bi, Power App, Power Automate, Conocimiento de Normas Aplicables en la Industria Automotriz (IATF, ISO14000, AIAG, VDA), Requerimientos Específicos de los Clientes, Administración financiera
Conceptualizar, cotizar, planear, diseñar, desarrollar, medir, controlar, implementar y mejorar los procesos de ensamble requeridos para nuevos proyectos en MPT
Responsibilities
Conceptualizar, cotizar, planear, diseñar, desarrollar, medir, controlar, implementar y mejorar los procesos de ensamble requeridos para nuevos proyectos en MPT
Director, Digital Twin & Intelligent Manufacturing CapabilitiesNewAstraZeneca · Gaithersburg, US
Senior Industrial EngineerNewMainspring Energy · Monterrey, Mexico
Director of Materials ManagementNeros Technologies · Torrance, US