Lead of Data Governance

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:

• Establish and oversee an enterprise Data Quality framework.
• Define data quality expectations, ownership, and remediation.
• Develop governance principles for Master Data Management.
• Support consistent data definitions and harmonization.
• Establish monitoring for data quality and improvement.

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:

• Lead and develop the Data Governance function.
• Establish governance KPIs, risk indicators, and maturity measures.
• Prepare management-level reporting on governance progress and risks.
• Adapt governance model to evolving business, regulatory, and technology needs.