Bilingual Data Governance Lead

Jobtailor

Deutschland

Remote

EUR 70.000 - 110.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Jobtailor is seeking a seasoned Data Governance leader to design and govern enterprise wide data policies, standardize metadata, and drive AI governance across multiple units. You will define roles, create governance operating models, and align data usage with regulatory requirements while promoting a data-driven culture.

Ideal candidates bring experience with DAMA-DMBOK/CDMP, healthcare data exposure, and strong English communication, with proficiency in Microsoft Fabric/Azure/Databricks.

Qualifikationen

  • Professional experience in Data Governance/Data Management or Data Platforms.
  • Experience planning cross-functional projects with business and technical stakeholders.
  • Strong stakeholder management, communication, and coordination skills.
  • Knowledge of data quality, standardization, metadata management, or related practices.
  • Proactive mindset to identify challenges and drive initiatives independently.
  • Experience with privacy regulations, consent management, information security, and data protection.
  • Experience with healthcare data or multi-service group data governance.
  • Experience implementing data catalogs, MDM, or data quality tools.
  • Experience using Microsoft Fabric, Azure, Databricks, or similar platforms.
  • Experience designing AI/Generative AI governance frameworks.
  • Experience working in English in a professional environment.

Aufgaben

  • Develop and drive company-wide data governance policies, roadmaps, and operating models.
  • Define roles and responsibilities for data owners, data stewards, and other key stakeholders.
  • Design governance processes across multiple business units and group companies.
  • Establish frameworks balancing data utilization with governance and risk management.
  • Identify opportunities to leverage data based on business needs and support implementation.
  • Promote data standardization, metadata management, data catalogs, and master data management.
  • Define data quality metrics and establish monitoring, visualization, and continuous improvement processes.
  • Improve data discoverability, accessibility, and usability across the organization.
  • Establish policies for data quality, access control, privacy, and AI use cases.

Kenntnisse

Data Governance
Data Management
Stakeholder Management
Data Quality Management
Privacy Regulations
DAMA-DMBOK
CDMP
Data Catalogs
Master Data Management
Cross-Functional PM
Communication Skills

Tools

Microsoft Fabric
Azure
Databricks

Jobbeschreibung

  • Develop and drive company-wide data governance policies, roadmaps, and operating models
  • Define roles and responsibilities for data owners, data stewards, and other key stakeholders
  • Design decision-making and governance processes across multiple business units and group companies
  • Establish frameworks balancing effective data utilization with governance and risk management
  • Identify opportunities to leverage data based on business needs and support implementation
  • Promote data standardization, metadata management, data catalogs, and master data management
  • Define data quality metrics and establish monitoring, visualization, and continuous improvement processes
  • Improve data discoverability, accessibility, and usability across the organization
  • Establish policies for data quality, access control, privacy, and accountability for AI and Generative AI use cases
  • Design governance processes that enable innovation while managing data and AI-related risks
  • Collaborate with business and technical teams to connect emerging technologies and AI use cases with business value
  • Develop data usage, consent management, and data lifecycle policies in accordance with applicable privacy regulations
  • Collaborate with legal, security, and business teams on data-related risk assessments and mitigation
  • Support audits and develop internal guidelines and governance standards
  • Drive cross-functional initiatives involving management, business, planning, engineering, legal, and security stakeholders
  • Promote education and awareness around data governance and responsible data utilization
  • Help establish a company-wide data-driven culture
  • Identify operational challenges and continuously improve governance processes
Requirements
  • Professional experience in Data Governance, Data Management, or Data Platforms
  • Experience planning and driving cross-functional projects involving both business and technical stakeholders
  • Strong stakeholder management, communication, and coordination skills
  • Knowledge of data quality, data standardization, metadata management, or related data management practices
  • Ability to work proactively, identify organizational challenges, and drive initiatives independently
  • Japanese: business level
  • Knowledge or practical experience with DAMA-DMBOK, CDMP, or related data management frameworks
  • Experience establishing or operating data owner / data steward models or data governance organizations
  • Knowledge of privacy regulations, consent management, information security, and data protection
  • Experience working with healthcare data or managing data across multiple services or group companies
  • Experience implementing or operating data catalogs, Master Data Management (MDM), or data quality management tools
  • Knowledge or experience with Microsoft Fabric, Azure, Databricks, or similar modern data platforms
  • Experience designing or operating AI / Generative AI governance frameworks
  • Experience working in English in a professional environment
Core Competencies

Demonstrates expertise in Data Governance and Data Management, with a strong focus on establishing frameworks for data quality, privacy regulations, and AI governance. Proven ability to drive cross-functional initiatives and promote a data-driven culture across organizations.

Highest-signal resume keywords
  • Data Governance
  • Data Management
  • Stakeholder Management
  • Data Quality Management
  • Privacy Regulations
ATS Optimization Keywords
Hard Skills
  • Data Standardization
  • Metadata Management
  • Data Catalogs
  • Master Data Management
  • Data Quality Metrics
  • Data Lifecycle Policies
  • AI Governance Frameworks
  • Cross-Functional Project Management
  • DAMA-DMBOK
  • CDMP
Soft Skills
  • Communication Skills
  • Coordination Skills
  • Proactive Problem Solving
Industry Keywords
  • Data Governance Policies
  • Data Steward Models
  • Information Security
  • Data Protection
  • Healthcare Data
Tools & Technologies
  • Microsoft Fabric
  • Azure
  • Databricks
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