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Data Governance & Quality Lead

Morgan Stanley
Data Engineer • Lead • On-site • Full-time • 📍 Budapest
📄 View original listing (EN)

An experienced people manager role leading Morgan Stanley's global HR Data Governance & Quality function. The position sets the standards, ownership model, and controls that ensure HR data is trusted, well-managed, and fit for firm-wide decisions, while leveraging AI to strengthen the data quality program.

Responsibilities

  • ▹Build and develop a high-performing, globally coordinated data governance team
  • ▹Establish and maintain data governance foundations: ownership, sourcing, cataloging, lineage, and controls
  • ▹Deliver prioritized data quality initiatives from the HR Data Governance roadmap
  • ▹Partner with HR product, analytics, engineering, and firmwide risk/control teams to embed standards into systems and pipelines
  • ▹Define and oversee controls and monitoring that surface data quality risks and support escalation and remediation
  • ▹Shape the strategic roadmap for HR's data governance and quality function
  • ▹Leverage AI tools to enhance the HR Data Quality Program

Requirements

  • ▹At least 8 years of relevant experience
  • ▹Applied exposure to data governance, data quality, or data management in a complex, multi-system, ideally global environment
  • ▹Track record designing and operationalizing frameworks that scale across systems and regions
  • ▹Ability to translate data policies and technical concepts into clear guidance for technical and non-technical audiences
  • ▹Proven ability to build alignment across organizational and geographic boundaries
  • ▹Understanding of how HR data flows through core systems and how governance influences data quality

Soft skills

Leadership and team buildingStakeholder managementClear communicationStrategic thinking

What we offer

  • ▹Hybrid working arrangement
Languages: angol