Lead Industrial Data Platform Engineer (GxP/Pharma)

Job DescriptionJob DescriptionYour impact

• Elevate the data platform that powers complex pharmaceutical batch analytics.
• Translate business needs and data science requirements into robust, compliant software configurations.
• Enable Advanced Analytics by ensuring the right data arrives with the right fidelity at the right time.

What you will own

• End-to-end data management strategy and configuration for multi-site, multi-program analytics in a regulated environment.
• Architectural support across process historians, ERP, LIMS, and Electronic Batch Systems for projects spanning a range of complexity.
• Independent delivery across multiple concurrent projects, including creation of industry-standard documentation suitable for internal compliance and regulatory submission.
• Periodic reviews of LAN/WAN and edge server performance in regional data centers; measurement of data transfer rates; concise latency reporting and remediation plans.
• Implementation of commercial and open-source technologies that improve data scientist workflows and cross-site consistency.

How you will succeed

• Apply strong business acumen and current data science knowledge to validate fit, form, and function of platform choices.
• Continuously refine agile software and data management practices for both standard and advanced data science programs and product groups.
• Absorb and act on input from Global MSAT, strategic site leadership, IT Governance, and Global Engineering to optimize program management.
• Communicate technical and data management requirements clearly to a global audience, linking capabilities to Advanced Analytics results.
• Maintain cutting-edge awareness through primary literature, industry forums, and user groups—evaluating and adapting emerging solutions that advance Data Analytics Product Groups.

Collaboration network

Work cross-functionally with Data Analytics management and delivery teams, site stakeholders, and governance bodies to set goals and deliver measurable outcomes.