below marketmost similar roles pay hereabove market
This role pays more than
68%
of similar roles. Most pay
$161,250–$259,835
— the blue band above.
At the midpoint, this role pays about
$246k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About MSD
MSD (Merck Sharp & Dohme) is the international name for Merck & Co., a major U.S.-based pharmaceutical company.
MSD currently has
11 open roles
on FindRole.
Listed pay typically runs
$82,000–$92,000
across 11 roles with salary data.
The Director of Data Engineering and Analytics will join the Small Molecule Science and Technology team to lead and build a data engineering and analytics team across Technical Operations. This role involves translating data priorities into execution, driving accountability across a matrixed organization, and standardizing digital strategy tools to improve business outcomes. The leader will build robust data pipelines, improve data accessibility for manufacturing and process data, and support proactive process monitoring and manufacturing process intelligence. Key responsibilities include converting complex manufacturing needs into scalable solution designs and ensuring data quality from source systems to analytical platforms. Required expertise includes pharmaceutical manufacturing unit operations, data modeling, and software development life cycle methodologies. Preferred technical skills include experience with manufacturing data platforms such as DataLynx, SEEQ, MPI, MES, and historians.
Lead the build and management of a data engineering and analytics team across Technical Operations.
Translate data and analytics strategies into practical implementation plans, milestones, and value realization metrics.
Drive the deployment and standardization of digital strategy tools to improve manufacturing and process data usability.
Lead data engineering initiatives to build robust data pipelines ensuring data quality from source systems to analytical platforms.
Convert complex manufacturing needs into practical analytical requirements and scalable solution designs for scientists and engineers.
Drive adoption of capabilities for Proactive Process Monitoring, Continuous Process Verification, and Manufacturing Process Intelligence.
Represent business priorities in data governance, portfolio, and demand management forums to ensure resource focus on high-value use cases.
Track progress against priorities and hold teams accountable for delivery, adoption, and measurable business impact.
What we're looking for
Bachelor of Science in Engineering, Pharmaceutical Sciences, Data Science, IT, Computer Science, or a related technical discipline with ten years of experience.
Master of Science degree with eight years of experience is also accepted.
Demonstrated leadership in pharmaceutical manufacturing, technical operations, data engineering, or data science in a regulated environment.
Deep understanding of pharmaceutical manufacturing processes and unit operations across Drug Substance, Drug Product, packaging, and analytical.
Expertise in manufacturing data systems, process monitoring, and data and analytics technologies supporting technical operations.
Proven ability to influence across matrix organizations and drive accountability for execution and results.
Advanced degree (MS, MBA, PharmD, or PhD) (preferred).
Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies (preferred).
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