Associate Director, Pharmaceutical Data Engineer
About The Position
The Associate Director, Digital Operations, is a highly technical role within the Development Sciences and Clinical Supply Digital Technologies organization. The organization drives digital transformation, data architecture, and technology solutions supporting Development Sciences and Clinical Supply operations. This role advances the organization from traditional business intelligence reporting toward a modern data foundation, with a focus on data engineering, custom web applications, and advanced AI and agentic models. The role works with data spanning the clinical and commercial supply chain, including drug substance manufacturing and process orders, drug product packaging, quality notifications, and global distribution. It designs and implements data foundations and pipelines, develops prototypes and automation, and contributes to the organization's data strategy and strategic roadmap. The successful candidate will partner with business stakeholders and data architects to translate operational needs into technical solutions, build governed and scalable data models, and document and support technologies as they are introduced. The position is based primarily in West Point, Pennsylvania, with a hybrid work arrangement.
Requirements
- Master's degree in Computer Science, Data Science, Engineering, Supply Chain Management, Operations Research, or a closely related quantitative field, with at least 5 years of industrial, pharmaceutical, or relevant data engineering experience; alternatively, a bachelor's degree in a listed or closely related quantitative field with at least 7 years of such experience.
- Strong expertise in Python and advanced SQL.
- Hands-on experience with Databricks Lakehouse architecture, Delta Lake, and Unity Catalog.
- Experience building custom data products and rapid-prototype front ends such as Streamlit or React.
- Strong familiarity with SAP or similar ERP/manufacturing systems as a source of complex supply chain and manufacturing data.
- Experience gathering complex requirements from non-technical stakeholders and translating them into actionable technical roadmaps.
- Familiarity with or strong interest in agentic modeling, large language models, and integrating AI agents into workflows.
- Experience in an Agile/Scrum environment, using Jira Cloud for sprint planning, story estimation, and tracking, and Confluence for technical documentation.
- Comfort working in VS Code and using AI-assisted coding tools.
- Strong experience with GitHub for version control, collaborative code reviews, and automated CI/CD pipelines.
- Strong analytical and problem-solving skills.
- Ability to build trust-based relationships and drive change with technical and non-technical stakeholders.
- Excellent written and verbal communication skills, including the ability to explain technical concepts to global audiences at different professional levels.
- Independent decision-making skills and a proactive approach to leading projects and delivering results.
- Skills listed include agent-based modeling, automation, CAPA management, clinical supply chain management, customer experience optimization, Databricks Unified Data Analytics Platform, data engineering, data modeling, data pipelines, data science, continuous improvement, MES, proof-of-concept development, and quantitative analytics.
Nice To Haves
- Familiarity with pharmaceutical drug substance or drug product supply chain operations, including process orders, batch genealogy, MRP/MPS planning, tech transfer, quality management, or global distribution.
- Experience working with SAP MM, PP, QM, or SD modules, or related manufacturing execution systems such as MES or LIMS.
- Experience with Copilot Studio or similar tools for integrating AI agents into workflows.
Responsibilities
- Design, build, and optimize scalable data pipelines and architectures using Databricks, Python, Dataverse, and advanced SQL.
- Transform raw SAP, MES, LIMS, and other operational data from drug substance and drug product manufacturing and supply operations into accessible, analytics-ready data foundations.
- Gather and translate requirements from supply chain planners, quality teams, and manufacturing stakeholders into business requirements and technical specifications.
- Design, test, and implement agentic AI workflows and machine learning models to automate decisions and generate proactive business insights.
- Develop and deploy custom web applications to support business operations, data entry, and interaction with underlying data models.
- Use modern development environments and AI coding assistants alongside GitHub to manage scripts, applications, and data models and ensure code quality.
- Work with data architects to build scalable, secure, and efficient data models that support analytical and transactional workloads.
- Document processes, code, data models, and system architectures.
- Provide training and technical support to end users as new technologies are rolled out.
- Contribute to the data strategy and strategic roadmap, streamlining processes and reducing manual work through automation and machine learning.
Benefits
- Medical, dental, and vision healthcare benefits.
- Other insurance benefits for employees and their families.
- Retirement benefits, including a 401(k).
- Paid holidays.
- Vacation.
- Compassionate and sick days.
- Eligibility 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
