Associate Director, Data Engineering and Analytics

Msd Ireland

Rahway (NJ)

Hybrid

USD 142,000 - 224,000

Full time

15 hours ago

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Benefits offered by this job

Health insurance

401(k) plan

Paid holidays

Hybrid work arrangement

Job summary

Merck & Co. in Rahway, NJ seeks an Associate Director, Data Engineering and Analytics to translate priorities into scalable data solutions. You will partner across SM S&T, Digital Manufacturing, IT and Global Ops to drive data accessibility and decision-making.

This role requires deep technical depth, strong judgment, and the ability to lead workstreams in a regulated environment, delivering tangible value.

Qualifications

Bachelor’s degree in Engineering, Pharmaceutical Sciences, Data Science, IT, CS or related field.
8 years of experience in regulated environments; pharma/manufacturing preferred.
Ability to lead complex data workstreams and influence without authority.

Responsibilities

Lead complex data engineering and analytics initiatives aligned to SM S&T priorities.
Translate business needs into implementable technical plans and value outcomes.
Manage high-impact workstreams with milestones, risks, and stakeholder alignment.
Develop scalable data pipelines and analytics solutions across manufacturing domains.

Skills

Data engineering

Analytics

Stakeholder management

Cross-functional collaboration

SQL / data modeling

Education

Bachelor's degree in Engineering or related field

MS degree preferred

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

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 Associate Director, Data Engineering and Analytics will play a critical individual contributor role in translating SM S&T data and analytics priorities into scalable solutions, sustained adoption, and measurable value.

Reporting to the recently created, Director of Data Engineering and analytics, this role will lead complex data engineering and analytics initiatives that sit at the intersection of business, science, manufacturing, engineering, and digital technology. The successful candidate will serve as a trusted technical partner across a highly matrixed environment, working across SM S&T, Digital Manufacturing Division, Digital CMC, MPI, IT, and Global Pharmaceutical Operations to advance data accessibility, analytical capability, and data-driven decision-making.

This role requires strong technical depth, sound judgment, and the ability to independently lead workstreams, influence stakeholders, and deliver practical solutions in a regulated environment.

Responsibilities

Lead execution of complex data engineering and analytics initiatives aligned to SM S&T priorities
Translate business needs into practical implementation plans, technical requirements, and measurable value outcomes
Independently manage high-impact workstreams, including milestones, dependencies, risks, and stakeholder alignment
Ensure analytics efforts remain anchored in well-defined business problems and deliver practical, scalable value
Serve as a credible technical partner across business, manufacturing, scientific, and digital teams
Convert complex processes, operational, and business needs into scalable analytical and data engineering solutions
Bridge technical and non-technical stakeholders to support alignment, clarity, and execution
Influence cross-functional teams where coordinated delivery is required to achieve business outcomes
Lead the design and enhancement of robust data pipelines, data flows, and curated datasets supporting analytics use cases
Improve the quality, contextualization, and accessibility of manufacturing and process data across SM S&T
Support scalable approaches for integrating data from source systems into analytical environments
Enable scientists and engineers to more effectively access and use data for process monitoring, investigations, and lifecycle management
Drive deployment and sustained use of analytics capabilities across Drug Substance, Drug Product, Packaging, and Analytical Sciences
Apply technical understanding of manufacturing and unit operations to ensure solutions are practical and fit for purpose
Support development of repeatable methods, user enablement, and working practices that improve adoption beyond centralized expertise
Represent technical considerations, dependencies, and value drivers in prioritization and governance discussions
Partner with business and digital stakeholders to clarify high-value use cases and delivery sequencing
Track progress, adoption, and value realization for assigned initiatives
Identify and elevate delivery risks, tradeoffs, and resource constraints in a timely manner

Qualifications

Required

Bachelor’s degree in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline with eight (8) years of required experience (MS with 6).
Significant experience in pharmaceutical manufacturing, technical operations, data engineering, analytics, or related digital roles in a regulated environment
Demonstrated ability to independently lead complex technical workstreams and deliver results across matrixed organizations
Strong understanding of manufacturing processes and unit operations across Drug Substance, Drug Product, Packaging, and/or Analytical Sciences
Experience designing or supporting data pipelines, analytical data products, dashboards, or scalable analytics solutions
Strong ability to translate between technical and business stakeholders and influence without direct authority
Demonstrated ability to work effectively across multiple functions, balance priorities, and manage ambiguity

Travel to manufacturing sites may be required, estimated at

Preferred

Advanced degree in a related technical discipline
Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies

Required Skills

Business Decisions, Business Decisions, Business Informatics, Business Intelligence (BI), Business Requirements Analysis, Business Workflow Analysis, Data Access, Data Aggregation, Database Administration, Data Engineering, Data Management, Data Modeling, Data Stewardship, Data Strategies, Data Visualization, Data Warehousing (DW), Delivery Management, Design Applications, Enterprise Data Management, Feature Prioritization, Implementation Methodologies, Information Management, Insight Generation, Software Development, Software Development Life Cycle (SDLC) {+ 2 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 primary location for this posting is:

USA - New Jersey - Rahway

Where required by law, the compensation range for this role is provided below.

The salary range for the primary location of this role is:

$142,400.00 - $224,100.00

This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of 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.

Additional location(s):

Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

Additional location(s) Compensation Information:

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

Employee Status

Regular

Relocation

No relocation

VISA Sponsorship

Travel Requirements

10%

Flexible Work Arrangements

Hybrid

Shift

1st - Day

Valid Driving License