Commercial Data Governance Lead

hace 2 semanas

Madrid, Madrid, España Argenx A tiempo completo

Job Description:

Argenx is seeking a Data Governance Lead to establish, deploy, and enforce policies and procedures for end-to-end data governance. This role will ensure data is used and maintained properly, working closely with technical/system architecture teams to define operational processes for monitoring compliance to policies and standards.

Key Responsibilities:

  • Oversee the integrity, usability, and security of all data assets.
  • Check compliance against data governance policies and standards.
  • Ensure best practice documentation of policies.
  • Work with data stewards to identify and address data quality issues, and track quality remediation efforts.
  • Identify and implement automation opportunities to improve compliance and data quality.
  • Implement data quality monitoring and improvement measures to meet data quality thresholds as defined by business users.
  • Guide data stewards in monitoring activities for each data governance component (e.g., quality, security) and support reporting of enterprise-wide data quality metrics.
  • Ensure governance/decision mechanisms are in place to address cross-team dependencies.
  • Maintain an overall understanding of industry landscape to ensure that we are deploying best-practice solutions.

Requirements:

  • Minimum of 8-10 years working either in a biopharmaceutical company or a consulting organization with a focus on the life sciences sector.
  • Minimum 5 years working in a data management capacity.
  • High analytical capability with a history of leveraging data and analytical techniques to optimize business decisions.
  • Willingness to be strategic and hands-on as required.
  • Thorough knowledge and operational skills in data governance, data quality methods, storage repositories, and tools.
  • Experience designing and deploying automated data quality issue identification and remediation tools (e.g., RPA to automate repetitive and rule-based tasks including running test scripts).
  • Experience working with data in a modern data platform/architecture (e.g., Snowflake, Databricks) and with third-party cataloging solutions (e.g., Collibra, Alation).
  • Understanding of the industry landscape and global regulatory requirements (e.g., GxP, HIPAA, GDPR, etc.).

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