Senior Specialist, Manufacturing Data Engineering & Digital Integration

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

• Bachelors 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

• Masters 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

Preferred Skills:

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US and Puerto Rico Residents Only:

Our company is committed to inclusion ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race color age religion sex sexual orientation gender identity national origin protected veteran status disability status or other applicable legally protected a federal contractor we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws visit:

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We are proud to be a company that embraces the value of bringing together talented and committed people with diverse experiences perspectives skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas broad experiences backgrounds and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively.

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The salary range for this role is

$117000.00 - $184200.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive if applicable.

We offer a comprehensive package of benefits. Available benefits include medical dental vision healthcare and other insurance benefits (for employee and family) retirement benefits including 401(k) paid holidays vacation and compassionate and sick days. More information about benefits is available at can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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

Search Firm Representatives Please Read Carefully
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.

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:

10/16/2026

*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.