Associate Director, Data Engineering and Analytics
About The Position
Within Small Molecule Science & Technology (SM S&T), the Associate Director, Data Engineering and Analytics translates data and analytics priorities into scalable solutions, sustained adoption, and measurable value. This is a critical individual-contributor role leading complex initiatives at the intersection of business, science, manufacturing, engineering, and digital technology. The role reports to the Director of Data Engineering and Analytics and partners across SM S&T, Digital Manufacturing Division, Digital CMC, MPI, IT, and Global Pharmaceutical Operations. The successful candidate provides technical depth and judgment, independently leads workstreams, influences stakeholders, and delivers practical solutions in a regulated environment. The role advances data accessibility, analytical capabilities, and data-driven decision-making across the product lifecycle, supporting manufacturing and process data use in monitoring, investigations, and lifecycle management. Travel to manufacturing sites may be required, estimated at less than 10% of the time.
Requirements
- Bachelor’s degree in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline with eight years of experience; alternatively, a master’s degree with six years of experience.
- 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.
- 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 less than 10% of the time.
Nice To Haves
- Advanced degree in a related technical discipline.
- Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies.
Responsibilities
- Lead execution of complex data engineering and analytics initiatives aligned with 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 address 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 and 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 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 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 escalate delivery risks, tradeoffs, and resource constraints in a timely manner.
Benefits
- Medical, dental, and vision healthcare benefits.
- Other insurance benefits for employees and their families.
- Retirement benefits, including a 401(k).
- Paid holidays, vacation, and compassionate and sick days.
- Eligible for an annual bonus and long-term incentive, if applicable.
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What This Job Offers
Job Type
Full-time
Career Level
Director
