Lead of Data Governance

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SeniorOn-siteFull-time

#442987·Dodano miesiąc temu·2

Źródło: LinkGroup

Tech Stack / Keywords

Data GovernanceData QualityMaster Data ManagementReporting GovernanceAnalytics GovernanceAICloudData PlatformsStakeholder ManagementMetadata

LinkGroup is the company offering this role.

10+ years of experience in Data Governance, Data Management, Data Quality, MDM, Information Management, Reporting Governance, Analytics Governance, or related fields.
Proven experience developing and implementing enterprise-level governance frameworks and operating models.
Strong understanding of data ownership, stewardship, quality, metadata, lineage, business glossaries, and master data.
Experience with reporting governance, KPI management, and governance of analytics or AI solutions.
Experience in complex organizations with multiple business units and stakeholders.
Ability to translate business and technology requirements into practical governance standards and processes.
Good understanding of modern data platforms, cloud environments, and data governance or cataloguing tools.
Strong strategic thinking, analytical skills, and decision-making in complex environments.
Excellent stakeholder management and communication skills, including influencing senior stakeholders.
Experience facilitating discussions, resolving conflicts, and building alignment across functions.
Pragmatic and delivery-oriented approach balancing governance with business flexibility.
Fluent English and experience in an international environment.

Data Governance Strategy:

Develop and improve the organization's Data Governance strategy and framework.
Define the target governance model balancing central standards and business ownership.
Establish a roadmap for governance capabilities and maturity.
Advise senior stakeholders on data risks, reliability, and governance priorities.
Promote data as a strategic business asset.

Policies, Standards & Governance Frameworks:

Develop and maintain policies covering data ownership, stewardship, quality, and metadata.
Define governance for master data and business terminology.
Establish standards for reporting, dashboards, and KPIs.
Define governance expectations for analytics and AI solutions.
Ensure governance processes are practical and proportionate.

Data Quality & Master Data:

Reporting, Analytics & AI:

Establish governance for management and operational reporting.
Define ownership and approval for key metrics and KPIs.
Support use of trusted data sources across reporting and analytics.
Define governance expectations for advanced analytics, machine learning, and AI.
Ensure controlled and documented analytical outputs aligned with requirements.

Collaboration & Accountability:

Define responsibilities for Data Owners, Stewards, and stakeholders.
Collaborate with Data, Analytics, Reporting, Architecture, Security, Privacy, Legal, Risk, and others.
Incorporate governance into technology platforms and processes.
Facilitate cooperation between business and technology teams.

Leadership & Continuous Improvement:

Link Group

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