Director of Data Engineering and Analytics

MSD; Ireland; Hybrid; EUR 170,000 - 268,000; Full time

Job summary

MSD seeks a Director of Data Engineering and Analytics to lead a data-enabled transformation across Small Molecule Science & Technology. You will build and guide a data engineering and analytics team, translating priorities into scalable solutions that drive business value across manufacturing, analytics, and IT.

The role requires deep experience with pharmaceutical data systems, strong leadership, and a track record of delivering regulated data-driven initiatives in a complex, matrixed

Qualifications

• BS in Engineering, Pharmaceutical Sciences, Data Science, IT, CS or related technical discipline with 10 years' experience (MS with 8).
• Proven leadership in pharmaceutical manufacturing, data engineering or data science in regulated environments.
• Deep understanding of pharmaceutical manufacturing processes and unit operations.
• Expertise in manufacturing data systems, process monitoring, and analytics technologies.

Responsibilities

• Drive data and analytics priorities across SM S&T with measurable business impact.
• Translate strategy into practical plans with milestones and value metrics.
• Collaborate with leadership across IT, MPI, and manufacturing sites to align priorities.
• Anchor analytics initiatives in clear business problems delivering practical value.
• Lead data engineering to build robust pipelines and ensure data quality.
• Enable scientists and engineers to access data for process monitoring and lifecycle management.
• Advance data governance and adoption of Data MPI, CPV, and analytics capabilities.

Skills

Advanced Analytics

Business Alignment

Business Intelligence

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

SDLC

Solution Architecture

Strategy Deployment

System Designs

Education

BS in Engineering/Pharmaceutical Sciences/Data Science/IT/CS

MS in Engineering or related field

Tools

DataLynx

SEEQ

MPI

MES

Historians

Job description

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.

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.

Requirements

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 characteristics. As 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:

EEOC Know Your Rights

EEOC GINA Supplement

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 another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

The salary range for this role is

$190,800.00 - $300,300.00

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 employee’s 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 https://jobs.merck.com/us/en/compensation-and-benefits.

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