Director of Data Engineering and Analytics

Caraway Therapeutics, Inc.; United States; Hybrid; USD 191,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays

Job summary

Caraway Therapeutics, Inc. is seeking a Director of Data Engineering and Analytics to lead a cross-functional data team within Small Molecule Science & Technology.

You will translate data priorities into actionable plans, partnering with IT, MPI, and manufacturing to deliver measurable business impact. Ideal candidates bring a strong background in data engineering and analytics for pharmaceutical operations, with leadership experience across matrix organizations and a passion for enabling

Qualifications

• BS in Engineering, Pharmaceutical Sciences, Data Science, IT, CS or related, 10+ years experience (MS: 8+)
• Leadership in pharma manufacturing or data science with data-driven transformation experience
• Deep understanding of pharmaceutical manufacturing processes and data systems
• Expertise in manufacturing data systems, process monitoring, and analytics technologies
• Influence across matrix orgs and drive accountability for execution
• Travel to manufacturing sites < 10% time

Responsibilities

• Drive execution of data and analytics priorities across SM S&T with measurable business impact
• Translate strategy into practical implementation plans, milestones and value metrics
• Partner with leadership and site teams to align priorities and remove barriers
• Anchor analytics initiatives to clear business problems delivering practical value
• Lead data engineering to build robust data pipelines and ensure data quality

Skills

Advanced Analytics

Data Engineering

Data Visualization

BI

Strategic Leadership

Education

BS in Engineering/related technical discipline

MS 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.

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 < 10% of time.

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}

Preferred Skills:

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.

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:

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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.

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 .

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: 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.