Associate Director, Data Engineering and Analytics

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 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 escalate 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 <10% of time

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:

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