Global Data Governance Lead

On AG

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  • Publication date:

    21 March 2024
  • Workload:

    100%
  • Contract type:

    Permanent position
  • Place of work:

    Zürich

Global Data Governance Lead

In short

You will play a key role in developing and implementing effective data management practices and establishing transparency on our Data Mesh journey. You will work closely with domain data product owners, data producers, data consumers and other stakeholders to define data governance policies, procedures, and best practices that ensure the discoverability, compliance, quality and interoperability of our data products.

Your Mission

What your first 6 months at On might look like:

After 1 month you will:

  • Get to know the data landscape and introduce yourself to various stakeholders you will be interacting with
  • Understand the current state of our data mesh journey and data governance and get familiar with various projects and initiatives that are currently underway

After 3 months you will:

  • Take the lead of our federated governance body, promoting distributed data ownership and facilitating collaborative governance decisions
  • Get involved with existing development and implementation of data processes and practices such as data quality (incident) management, metadata management, privacy policies, content management and others
  • Start collaborating with domain data product owners, data engineers and relevant stakeholders to assess data governance needs, introduce necessary standards and data quality controls, and ensure compliance.
  • Collaborate with the teams to ensure data governance principles are integrated into data systems, applications, and infrastructure.

After 6 months you will:

  • Work on establishing and enforcing data governance standards and best practices across domains, promoting data governance awareness and fostering a culture of data-driven decision-making
  • Begin establishing metrics to monitor data governance adoption and adherence to data governance policies and procedures within each domain, track key performance indicators, and identify areas for improvement.
  • Promote data mesh, data governance and data culture internally, educating the business on analytics, data management, and data quality.

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