Senior Specialist, 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 strengthening the use of data and analytics to improve technical operations, process understanding, and business performance. The Senior Specialist, Data Engineering and Analytics will support the execution of SM S&T data and analytics priorities through delivery of high-quality data engineering, data preparation, and analytics solutions.

Reporting to the Director of Data Engineering and analytics, this individual contributor role will work across SM S&T, Digital Manufacturing Division, Digital CMC, MPI, IT, and Global Pharmaceutical Operations teams to improve access to manufacturing and process data, support analytics deployment, and enable broader use of digital and analytical capabilities. The role is well suited to a technically strong contributor who can execute independently, solve complex problems within defined priorities, and collaborate effectively across business and technical teams.

This role requires a strong technical foundation, attention to detail, and the ability to translate defined business needs into reliable, scalable, and compliant data and analytics outputs.

Responsibilities Execute data engineering and analytics deliverables in support of SM S&T priorities and business needs

Build, maintain, and enhance data pipelines, data transformations, curated datasets, and analytical outputs

Support delivery of dashboards, reporting, and analytical tools that improve visibility, monitoring, and decision support

Investigate data issues and partner with relevant teams to improve data quality, completeness, and usability

Partner with scientists, engineers, manufacturing users, and digital teams to clarify requirements and support solution delivery

Translate defined business questions into data requirements, logic, and fit-for-purpose outputs

Support testing, implementation, and refinement of analytics and data solutions based on user needs and feedback

Contribute to effective communication and coordination across matrixed teams

Improve accessibility and usability of manufacturing and process data through preparation, organization, and contextualization of datasets

Support efforts that enable end users to apply data more effectively in investigations, process monitoring, and routine decision-making

Document data structures, business logic, and technical approaches to improve sustainability and reuse

Support deployment and user adoption of analytics tools, data assets, and reporting capabilities

Provide technical support, user guidance, and knowledge sharing where appropriate

Identify opportunities to standardize analytical methods, data structures, and ways of working

Contribute to continuous improvement efforts that strengthen efficiency, scalability, and user experience

Manage assigned deliverables with attention to timelines, dependencies, and quality expectations

Escalate risks, issues, and blockers promptly and contribute to resolution planning

Ensure work is performed in a manner consistent with quality, compliance, and documentation expectations in a regulated environment

Qualifications Required Degree  (BSc/BEng/Masters) or higher in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline with five (5) years of required experience (MS with
3).Relevant experience in data engineering, analytics, manufacturing systems, technical operations, or related technical roles

Working knowledge of manufacturing, process, or operational data in pharmaceutical, biotech, or similarly regulated environments

Experience with data preparation, transformation, pipeline development, analytics tools, dashboards, or reporting solutions

Strong analytical, problem-solving, and collaboration skills

Ability to work effectively across business and technical teams in a matrixed environment

Demonstrated ability to manage multiple assignments and deliver high-quality work with appropriate guidance

Preferred

Experience with platforms such as Data Lynx, SEEQ, MPI, MES, historians, or similar technologies

Travel to manufacturing sites may be required, estimated at