Director of Data Engineering and Analytics

MSD; Ireland; Hybride; EUR 160 000 - 210 000; Plein temps

Avantages offerts par ce poste

Hybrid work arrangement

Travel 10%

Résumé du poste

MSD is seeking a Director of Data Engineering and Analytics to lead a data engineering and analytics team across SM S&T. The role translates priorities into executable plans, delivering measurable business impact while aligning with Digital Manufacturing, MPI, IT and Global Operations.

The ideal candidate has a strong technical background in data systems and experience driving data-enabled transformation in regulated environments, with a focus on manufacturing data and process intelligence.

Qualifications

• BS in engineering, pharma sciences, data science, IT or CS with 10 years’ experience (MS 8).
• Leadership in pharmaceutical manufacturing or data science in a regulated setting.
• Deep understanding of unit operations across drug substance, drug product, packaging and analytical.

Responsabilités

• Lead data engineering initiatives to build robust data pipelines and analytics platforms.
• Translate analytics priorities into executable plans with milestones and value metrics.
• Partner with cross-functional leaders to align priorities and remove barriers to execution.
• Advance data governance and democratization of data across SM S&T and IT partners.

Connaissances

Advanced Analytics

Data Engineering

Process Monitoring

Strategic Alignment

Leadership

Cross-functional

Formation

BS in Engineering/related

MS preferred

Outils

DataLynx

SEEQ

MPI

MES

Historians

Description du poste

Job Description

We aspire to be the premier research-intensive biopharmaceutical company. We're at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. Join our company and be part of a team that uses the power of leading-edge science to save and improve lives around the world. Within Small Molecule Science & Technology (SM S&T), we are advancing digital and data capabilities that strengthen technical operations, accelerate insight generation, and improve business outcomes across the product lifecycle. The Director, Data Engineering and Analytics is a newly created and exciting role, and we are looking for a data-minded engineer to join Small Molecule Science and Technology (SMS&T) to lead and build a data engineering and analytics team across Technical Operations. The Director of Data Engineering and Analytics, reporting to the Executive Director or End to End Technical Leadership Organization, will serve as the technical leader responsible for translating Small Molecule Science & Technology's (SM S&T) data and analytics priorities into execution, adoption, and business value. This role requires who can drive accountability and execution across a highly matrixed organization across SM S&T, Digital Manufacturing Division, Digital CMC, MPI, IT and Global Pharmaceutical Operations to accelerate the deployment, implementation and standardization of digital strategy tools to advance analytics and data engineering capabilities, deliver sustained adoption and measurable business impact. The Director is expected to bring a strong understating of digital systems and tools, data science and analytics operating effectively at the intersection of business, science, manufacturing, engineering, and digital technology. The role requires a strong technical understanding of unit operations across Small Molecule Drug Substance, Drug Product, Packaging, and Analytical Sciences to maximize value add to the pipeline and inline portfolio.

Responsibilities

• Drive execution of agreed-upon data and analytics priorities across Small Molecule Science & Technology (SM S&T), ensuring progress and measurable business impact.
• Translate data and analytics strategy into practical implementation plans, clear milestones, and value realization metrics.
• Partner with SM S&T leadership, Digital Manufacturing Division, Digital CMC, MPI, IT, and site teams to align priorities and remove barriers to execution.
• Ensure analytics initiatives are anchored in clear business problems and deliver practical value to the organization.
• Serve as a credible translator between technical SMEs, manufacturing teams, and data/IT partners.
• Convert complex business and manufacturing needs into practical analytical requirements and scalable solution designs.
• Influence the data and analytics strategy across partner organizations where alignment is required.
• Advance the democratization and engineering of data across SM S&T by improving the access, contextualization, and usability of manufacturing and process data.
• Lead data engineering initiatives to build robust data pipelines, ensuring data quality and accessibility from source systems to analytical platforms.
• Enable scientists and engineers to directly access and use data to support process monitoring, investigations, and lifecycle management.
• Drive adoption of capabilities that support Proactive Process Monitoring, Continuous Process Verification, Manufacturing Process Intelligence (MPI), and data-driven decision-making.
• Lead the implementation and adoption of data and analytics solutions across SM S&T.
• Apply a strong technical understanding of unit operations across Drug Substance, Drug Product, Packaging, and analytical to ensure analytical tools are effectively utilized across the portfolio.
• Establish and strengthen user communities to scale adoption beyond centralized expertise.
• Represent SM S&T business priorities in data governance, portfolio, and demand management forums.
• Partner with leadership to define the highest-value use cases and ensure resources are focused on impactful priorities.
• Track progress against priorities and hold teams accountable for delivery, adoption, and value realization.

Qualifications

Required

• 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)
• Demonstrated leadership in pharmaceutical manufacturing, technical operations, data engineering, or data science, with a proven track record of driving data-driven transformation in a regulated environment.
• Deep understanding of pharmaceutical manufacturing processes, including a 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 will be required, estimated at

Preferred

• Advanced degree (MS, MBA, PharmD, or PhD).
• Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies.

Required Skills

Advanced Analytics, Advanced Analytics, Business Alignment, Business Intelligence (BI), Database Administration, Data Engineering, Data Integrity, Data Management, Data Modeling, Data Visualization, Design Applications, Digital Transformation, Executive Leadership, Implementation Methodologies, Information Management, Metrics Development, Process Alignment, Process Definition, Progress Monitoring, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, Strategic Alignment, Strategy Deployment, System Designs {+ 1 more}

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.

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

Domestic

VISA Sponsorship

No

Travel Requirements

10%

Flexible Work Arrangements

Hybrid

Shift

1st - Day

Valid Driving License

No

Hazardous Material(s)

N/A

Job Posting End Date

10/22/2026

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

Requisition ID:

R421198