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Remote Analytics Data Steward

Oxford Solutions
Pittsburgh, PA Remote Full Time
POSTED ON 3/24/2025
AVAILABLE BEFORE 4/21/2025

Remote opportunity for an Analytics Data Steward with pharmaceutical manufacturing experience. Remote in the U.S. (EST hours). U.S. Citizenship required.

The Analytics Data Steward will oversee and manage data assets vital to pharmaceutical manufacturing processes. This role is responsible for defining, implementing, and enforcing data governance policies while ensuring compliance with pharmaceutical industry regulations. The ideal candidate will collaborate with cross-functional teams, serving as the primary liaison between data users and data owners.

Responsibilities

  • Develop and implement data governance policies, standards, and best practices.
  • Ensure data quality, integrity, and security in compliance with pharmaceutical regulatory standards (e.g., FDA, EMA).
  • Collaborate with analysts, scientists, and IT teams to align data management practices with business goals.
  • Serve as the primary liaison between data users and data owners, resolving data-related issues.
  • Maintain data dictionaries, data catalogs, and metadata repositories.
  • Oversee data integration processes involving MES, LIMS, SCADA, and other pharmaceutical manufacturing systems.
  • Lead data stewardship initiatives, including data cleansing, validation, and auditing.
  • Provide training and support to data users on data governance tools and best practices.

Qualifications

  • Bachelor's degree in Data Management, Computer Science, Information Systems, Life Sciences, or a related field.
  • 3 years of experience in data stewardship, data governance, or a related role, preferably within pharmaceutical manufacturing.
  • Familiarity with pharmaceutical manufacturing systems such as MES, LIMS, SCADA.
  • Proficiency with data management tools (e.g., Informatica, Collibra, Talend) and data visualization platforms (e.g., Power BI, Tableau).
  • Certification in data governance or data management (e.g., CDMP, DGSP) preferred.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Analytics Data Steward - 24-01025

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