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Process Data Strategist

2 months ago

Tarrytown, New York, United States Regeneron Pharmaceuticals, Inc Full time
About the Role

We are seeking a highly skilled and experienced professional to lead our Process Data Enablement and Analytics efforts. As a key member of our team, you will be responsible for ensuring that our data is usable and useful to enable data-driven decision making within all areas of Preclinical Manufacturing and Process Development (PMPD).

Key Responsibilities
  • Coordinate the PMPD Data Enablement and Analytics group, responsible for designing, maintaining, and developing PMPD data systems and infrastructure.
  • Act as a key liaison between PMPD and the Regeneron IT organization, partnering to ensure IT and OT strategies are aligned and enabling the next generation of process development.
  • Ensure uninterrupted availability of PMPD's Operational Technologies supporting the data lifecycle, including OSIsoft PI Historian, GE UNICORN, FactoryTalk, Process Analytical Technology platforms, Internet-Of-Things (IOT) infrastructure and devices, and in-house applications.
  • Drive the strategic vision for PMPD's Data Engineering and Analytics efforts, in close collaboration with PMPD Data Engineers, Data Scientists, and Data Managers, PMPD Senior Management, Regeneron's IT organization, and colleagues within Regeneron's clinical and commercial manufacturing organization.
  • Define, implement, disseminate, and maintain data standards/data dictionary in PMPD, ensuring alignment with similar efforts at Regeneron Corporation level.
Supervisory Responsibility
  • Provide leadership and communicate a clear and compelling vision of Data Enablement and Analytics direction, enabling key reports to develop a successful plan to accomplish key objectives.
Requirements
  • Support innovation and act as a change agent to bring new insights to the forefront.
  • Think and act proactively to sustain forward progress by the organization at large.
  • Create an environment where leadership and talent development are top priority, resulting in a strong organization.
Qualifications
  • BS with 12+ years, MS with 10+ years or PhD Degree with 8+ years of relevant experience.
  • Familiarity with data and knowledge management platforms such as LIMS, BPS (Bioprocess Solution), RDBMS (Oracle, SQL Server), SharePoint, Electronic Lab Notebook, and Atlassian Confluence.
  • An in-depth understanding of database design principles, systems architectural and communication standards including ANSI/ASI-95, Unified Namespace, OPC, DCOM, TCP/IP, and Industrial Ethernet.
  • Experience in relational data modeling and exposure to lake and/or data warehousing strategies.
  • Familiarity with agile practices (Scrum, Kanban, SAFe).