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About the role
Key responsibilities & impact- Execute data engineering and analytics deliverables supporting SM S&T priorities and business needs
- Build, maintain, and enhance data pipelines, transformations, curated datasets, and analytical outputs
- Support dashboards, reporting, and analytical tools for visibility, monitoring, and decision support
- Investigate data issues and improve data quality, completeness, and usability
- Partner with scientists, engineers, manufacturing users, and digital teams to clarify requirements and deliver solutions
- Translate business questions into data requirements, logic, and fit-for-purpose outputs
- Support testing, implementation, and refinement of analytics and data solutions
- Improve accessibility and usability of manufacturing and process data
- Document data structures, business logic, and technical approaches
- Support deployment and user adoption of analytics tools, data assets, and reporting capabilities
- Provide technical support, user guidance, and knowledge sharing
- Identify opportunities to standardize analytical methods, data structures, and ways of working
- Contribute to continuous improvement of efficiency, scalability, and user experience
- Manage deliverables, timelines, dependencies, and quality expectations
- Escalate risks, issues, and blockers and contribute to resolution planning
- Ensure compliance with quality, documentation, and regulated-environment expectations
Requirements
What you’ll need- Degree (BSc/BEng/Masters) or higher in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline
- Five (5) years of required experience; MS with three (3) years
- 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
- Experience with platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies preferred
- Travel to manufacturing sites may be required, estimated at <10% of time
- No visa sponsorship
- Valid driving license not required
Benefits
Comp & perks- Annual bonus
- Long-term incentive, if applicable
- Medical, dental, and vision healthcare
- Other insurance benefits for employee and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate days
- Sick days
- Hybrid work arrangement
- No relocation required