Specialist, Manufacturing Data Engineering & Digital Integration

AVEVA PI (Software) Digital Integration Software Engineering Knowledge Management Computer Engineering Contingent Workforce Technical Leadership Relational Databases Predictive Analytics Business Informatics Business Intelligence Laboratory Automation Operational Efficiency Industrial Engineering Advanced Manufacturing Enterprise Integration Artificial Intelligence Large Language Modeling R (Programming Language) Environmental Monitoring Manufacturing Engineering Self Service Technologies SQL (Programming Language) Computer System Validation Data-Driven Decision Making Distributed Control Systems Business Process Automation Machine Learning Frameworks Enterprise Resource Planning Good Manufacturing Practices Business Process Improvement Business Continuity Planning Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Systems Development Life Cycle Flexible Manufacturing Systems Enterprise Application Software Software Development Life Cycle Biopharmaceutical Manufacturing Troubleshooting (Problem Solving) Generative Artificial Intelligence Operational Performance Management PyTorch (Machine Learning Library) Spotfire (Data Analytics Software) Manufacturing Execution System (MES) Application Programming Interface (API) Tableau (Business Intelligence Software) Laboratory Information Management Systems Supervisory Control And Data Acquisition (SCADA), The Senior Specialist, Manufacturing Data Engineering & Digital Integration serves as a senior technical leader for the design, integration, delivery, and sustainment of manufacturing data platforms and connected digital solutions across GMP operations. The role transforms complex manufacturing, laboratory, automation, and enterprise data into scalable data products, analytics, and AI-enabled capabilities that improve operational performance, process robustness, and data-driven decision making., * Provide senior technical leadership for manufacturing data engineering, analytics, and digital integration initiatives of varied scope and duration.

• Translate complex business and manufacturing challenges into scalable technical strategies, solution architectures, and executable delivery plans.
• Lead and coordinate cross-functional technical work, mentor data engineers and analysts, review deliverables, and promote scientific rigor, innovation, and continuous improvement.
• Design and direct integrations among manufacturing, laboratory, automation, and enterprise systems, including MES, process historians, SCADA/DCS, LIMS/CDS, ERP, and cloud analytics environments.
• Develop and oversee reliable data pipelines, APIs, web services, and integration patterns that move and contextualize information across OT and IT platforms.
• Define data requirements, interface specifications, data models, and architecture decisions for complex digital and capital projects.
• Lead troubleshooting and resolution of high-impact data flow, connectivity, interface, and performance issues affecting business operations.
• Own the end-to-end lifecycle of manufacturing data products from discovery and requirements through prototyping, industrialization, deployment, adoption, and ongoing sustainment.
• Direct the configuration and administration of manufacturing data and analytics platforms such as AVEVA PI System, SEEQ, Power BI, data lakes, and cloud-based analytics environments.
• Prepare, structure, model, and contextualize varied manufacturing datasets for dashboards, self-service analytics, advanced analytics, and operational reporting.
• Design scalable and reproducible analytical workflows that integrate process automation, laboratory, quality, and environmental monitoring data.
• Lead the evaluation, design, and deployment of AI and machine learning solutions for manufacturing use cases, including predictive analytics, process monitoring, deviation reduction, operational efficiency, knowledge management, and personal productivity.
• Guide development and integration of AI-powered applications, digital assistants, generative AI capabilities, and, where appropriate, computer vision solutions using approved enterprise platforms and APIs.
• Assess technical feasibility, data readiness, model risk, business impact, scalability, and sustainment requirements before industrializing AI solutions.
• Ensure data pipelines, models, dashboards, integrations, and applications follow internal data governance, data integrity, cybersecurity, and GxP/cGMP requirements.
• Provide leadership throughout the System Development Life Cycle, including requirements, design, configuration or development, testing, validation, deployment, release management, change control, and ongoing support.
• Lead or support validation and qualification activities for regulated computerized systems and maintain documentation needed for inspection and audit readiness.
• Establish data quality monitoring, metadata, lineage, access, and governance practices that promote trusted and reusable manufacturing data.
• Lead technical delivery for digital, automation, and capital projects requiring manufacturing system integration, data engineering, analytics, or AI capabilities.
• Partner effectively with Manufacturing, Engineering, Quality, Technical Operations, Laboratories, IT/OT, external vendors, and global digital organizations.
• Communicate complex technical, analytical, and statistical concepts clearly to technical contributors, business stakeholders, and senior leaders., Aviation Operations Housekeeping Communication Finished Good Health Advocacy English Language Internal Auditing External Auditing Business Solutions Production Equipment Loading And Unloading Packaging And Labeling Discounts And Allowances Material Handling Equipment Employee Assistance Programs +0 Production Operator Aerotek

Salem, NJ*On-Site

Aviation Warehousing Palletizing Forklift Truck Health Advocacy Weigh Materials Material Handling Machine Operation Business Solutions Loading And Unloading Packaging And Labeling Overhead Crane Operation Discounts And Allowances Employee Assistance Programs +0 Production Worker Aerotek

West Deptford, NJ*On-Site

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Dataflow Metadata Dashboard Scripting Operations Leadership Automation Mentorship Governance Innovation Statistics Data Lakes Compassion TensorFlow Mathematics Scalability Prototyping RESTful API Web Services Data Quality Data Science Digital Twin Data Analysis Data Security Data Modeling Change Control Cyber Security Data Integrity Data Pipelines Microsoft Azure Data Governance Data Management Computer Vision Data Interfaces Computer Science Microsoft Access Data Integration Machine Learning Telephone Skills Data Engineering Audit Management Industrialization Biopharmaceuticals Influencing Skills Advanced Analytics Windows PowerShell Workday (Software) Release Management Quality Management Problem Management Data Visualization Automation Systems Workflow Management Development Testing Systems Integration Amazon Web Services, Required

• Bachelor’s degree in data science, Computer Science, Software Engineering, Data Engineering, Information Systems, Computer Engineering, Engineering, Mathematics, Statistics, or a related quantitative or technical discipline with minimum of five (5) years of applied experience in data engineering, system integration, manufacturing systems, data analytics, data science, or AI/ML solution development.
• Demonstrated experience leading, mentoring, or directing technical contributors or complex cross-functional projects.
• Advanced proficiency in Python and SQL, with working knowledge of additional languages or scripting tools such as R, PowerShell, or JavaScript.
• Hands-on experience with data integration technologies, REST APIs, web services, relational databases, data modeling, and enterprise integration patterns.
• Experience working within regulated environments and applying SDLC, computerized system validation, data integrity, and cybersecurity practices.

Preferred

• Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field with three (3) years of applied experience in data engineering, system integration, manufacturing systems, data analytics, data science, or AI/ML solution development.

• Strong knowledge of biopharmaceutical manufacturing operations, continuous process improvement, and cGMP regulatory environments.
• Experience with AVEVA PI System, SEEQ, Power BI, Ignition, Spotfire, Tableau, Dataiku, or comparable historian, analytics, and self-service BI platforms.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn and cloud data platforms such as Azure or AWS.
• Experience with advanced manufacturing analytics, digital twins, large language models, generative AI, or computer vision, with emphasis on measurable business impact.
• Ability to explain complex engineering, data, AI, and statistical concepts to non-technical business leaders and influence decisions across organizational boundaries.

Required Skills: Amazon Web Services (AWS), Amazon Web Services (AWS), Audit Management, Audit Trails, Automation, Automation Systems, Business Informatics, Business Process Improvements, Computer Science, Data Compliance, Data Engineering, Data Integration, Data Interfaces, Data Management, Data Modeling, Data Pipelines, Data Security, Data Visualization, Microsoft Azure, Problem Management, Python (Programming Language), Quality Management, Real-Time Programming, Requirements Specification, Software Development Life Cycle (SDLC) {+ 2 more}

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The salary range for this role is $117,000.00 - $184,200.00

We aspire to be the premier research-intensive biopharmaceutical company. At the forefront of research, we deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. Join our team and use the power of leading-edge science to save and improve lives around the world., Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.