Senior Director, Data Platform & Governance (Remote)

Copenhagen, Capital Region
Posted 1 month ago
Data Science

About the role

Job summary

This role is responsible for the technical delivery and evolution of an enterprise data platform, focusing on user experience and data governance. The position leads engineering and governance teams, ensuring that platform users can efficiently complete their tasks while embedding governance into the platform.

Qualifications

  • Experience managing modern cloud data platforms at enterprise scale, preferably with Databricks or similar architectures on AWS.
  • Proven leadership in platform or data infrastructure teams, emphasizing user adoption and satisfaction.
  • Ability to implement governance as a platform capability, including automated quality checks and access controls.
  • Experience in maintaining an enterprise data model across multiple domains.
  • Strong partnership skills with product teams to shape roadmaps based on user feedback.
  • Excellent technical judgment and communication skills for explaining infrastructure trade-offs.
  • Experience managing cloud expenditures and vendor relationships.

Responsibilities

  • Oversee the technical delivery and evolution of the enterprise data platform.
  • Lead data platform engineering and governance teams, fostering a user-centric culture.
  • Integrate data governance into the platform, automating processes for quality and access.
  • Maintain the enterprise data model, ensuring it is accurate and widely used.
  • Collaborate with product teams to align technical priorities with user needs.
  • Monitor platform performance, cost, and reliability, managing vendor relationships.
  • Promote responsible AI and data ethics within governance frameworks.

Skills

  • Familiarity with the Databricks ecosystem and governance mechanisms.
  • Experience with governance-as-code practices and automated data contracts.
  • Background in internal developer platforms or platform-as-a-product strategies.
  • Knowledge of data mesh or federated data ownership models.
  • Exposure to AI/ML governance practices.

Education

  • Relevant degree or equivalent experience in data management or a related field.

Tools

  • Databricks, AWS, and other cloud data management tools.
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