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About the role
Key responsibilities & impact- Lead execution of complex data engineering and analytics initiatives aligned to SM S&T priorities
- Translate business needs into implementation plans, technical requirements, and measurable value outcomes
- Independently manage high-impact workstreams, including milestones, dependencies, risks, and stakeholder alignment
- Serve as a technical partner across business, manufacturing, scientific, and digital teams
- Convert complex processes and operational needs into scalable analytical and data engineering solutions
- Bridge technical and non-technical stakeholders and influence cross-functional teams
- Design and enhance robust data pipelines, data flows, and curated datasets
- Improve the quality, contextualization, and accessibility of manufacturing and process data
- Support integration of 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 practical solutions
- Support repeatable methods, user enablement, and working practices that improve adoption
- 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
- Identify and escalate delivery risks, tradeoffs, and resource constraints
Requirements
What you’ll need- 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, or MS with six (6) years
- 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
- Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies preferred
- No visa sponsorship
- No relocation
- Valid driving license not required
Benefits
Comp & perks- Annual bonus and long-term incentive, if applicable
- Medical, dental, vision healthcare and other insurance benefits for employee and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate and sick days
- Hybrid flexible work arrangements