Director of Data Engineering – Analytics

MSD

. Drive execution of data and analytics priorities across Small Molecule Science & Technology .

Posted 10/7/2026full-timeUnited StatesLead💰 $190,800 - $300,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics within pharmaceutical manufacturing, focusing on driving data-driven transformation and ensuring data quality and accessibility. Proven ability to influence cross-functional teams and lead the implementation of data solutions that deliver organizational value.

Highest-signal resume keywords

Data EngineeringPharmaceutical ManufacturingData-Driven TransformationProcess MonitoringData Analytics Technologies

ATS Keywords

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Hard Skills

Data EngineeringData AnalyticsPharmaceutical Manufacturing ProcessesUnit OperationsData Quality AssuranceAnalytical Requirements TranslationScalable Solution DesignValue Realization MetricsProactive Process MonitoringContinuous Process Verification

Soft Skills

LeadershipInfluencing Across Matrix OrganizationsAccountability for ExecutionCollaborationCommunication

Tools & Technologies

DataLynxSEEQManufacturing Process Intelligence (MPI)Manufacturing Execution Systems (MES)Historians

Industry Keywords

Pharmaceutical SciencesTechnical OperationsData GovernancePortfolio ManagementDemand Management

About the role

Key responsibilities & impact

Drive execution of data and analytics priorities across Small Molecule Science & Technology
Translate data and analytics strategy into implementation plans, milestones, and value realization metrics
Partner with SM S&T leadership, Digital Manufacturing Division, Digital CMC, MPI, IT, and site teams
Anchor analytics initiatives in clear business problems and practical organizational value
Translate between technical SMEs, manufacturing teams, and data/IT partners
Convert business and manufacturing needs into analytical requirements and scalable solution designs
Influence data and analytics strategy across partner organizations
Advance data democratization and engineering across SM S&T
Lead data engineering initiatives and build robust data pipelines
Ensure data quality and accessibility from source systems to analytical platforms
Enable scientists and engineers to use data for process monitoring, investigations, and lifecycle management
Drive adoption of Proactive Process Monitoring, Continuous Process Verification, Manufacturing Process Intelligence, and data-driven decision-making
Lead implementation and adoption of data and analytics solutions across SM S&T
Apply technical understanding of unit operations across Drug Substance, Drug Product, Packaging, and analytical functions
Establish user communities to scale adoption
Represent SM S&T priorities in data governance, portfolio, and demand management forums
Define high-value use cases and focus resources on impactful priorities
Track progress and hold teams accountable for delivery, adoption, and value realization
Report to the Executive Director of the End to End Technical Leadership Organization

Requirements

What you’ll need

Bachelor of Science (BS) in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline with ten (10) years of required experience; MS with 8 years
Demonstrated leadership in pharmaceutical manufacturing, technical operations, data engineering, or data science
Proven track record of driving data-driven transformation in a regulated environment
Deep understanding of pharmaceutical manufacturing processes
Strong technical understanding of 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
Travel to Manufacturing site required, estimated at < 10% of time
Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies (preferred)
No visa sponsorship
US and Puerto Rico residents only

Benefits

Comp & perks

Annual bonus eligibility
Long-term incentive eligibility, if applicable
Medical, dental, and vision healthcare
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate days
Sick days
Hybrid flexible work arrangements
Relocation: Domestic