Senior Specialist, Manufacturing Data Engineering & Digital Integration

MSD; Wilmington (DE); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

MSD, a leading biopharmaceutical company, seeks a Senior Specialist for Manufacturing Data Engineering & Digital Integration in Wilmington. You will lead data platforms, drive scalable data products, and enable analytics across GMP operations.

You will mentor engineers, shape architectures, and ensure data governance and cybersecurity in regulated environments. The role emphasizes AI, automation, and robust data integration across OT/IT systems.

Formación

• Bachelor’s degree in a quantitative/technical discipline with 5+ years in data engineering, system integration, or AI/ML solution development.
• Experience leading technical contributors or cross-functional projects.
• Advanced proficiency in Python and SQL; R, PowerShell, or JavaScript a plus.
• Hands-on with data integration, REST APIs, databases, data modeling, and enterprise integration patterns.
• Experience in regulated environments with SDLC, validation, data integrity, and cybersecurity.

Responsabilidades

• Provide senior technical leadership for manufacturing data engineering and digital integration initiatives.
• Translate complex challenges into scalable technical strategies and delivery plans.
• Lead cross-functional work, mentor data engineers, and promote rigor and improvement.
• Design and direct integrations among MES, ERP, LIMS/ CDS, and cloud analytics.
• Develop data pipelines, APIs, and context data models for dashboards and analytics.
• Lead AI/ML solutions for manufacturing use cases and drive adoption.

Conocimientos

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

Quality Management

Real-Time Programming

Requirements Specification

Software Development Life Cycle

Educación

Bachelor’s degree in data science, computer science, software engineering, data engineering, information systems, computer engineering, engineering, mathematics, statistics, or related quantitative/technical discipline

Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field

Herramientas

AVEVA PI System

SEEQ

Power BI

Ignition

Spotfire

Tableau

Dataiku

TensorFlow

PyTorch

Scikit-learn

Microsoft Azure

Amazon Web Services

Descripción del empleo

Job Description

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.

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.

Responsibilities

• 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.

Qualifications

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}

Additional location(s)

Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

Additional location(s) Compensation Information

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Employee Status

Regular

Relocation

No relocation

VISA Sponsorship

No

Travel Requirements

10%

Flexible Work Arrangements

Not Applicable

Shift

1st - Day

Valid Driving License

No

Hazardous Material(s)

n/a

Job Posting End Date

11/7/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.