Link Group

Lead of Data Governance

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C-Level / ManagerHybryda·WarszawaFull-time·Umowa o pracę

#463198·Dodano 25 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

DataAnalyticsData Management

Podsumowanie oferty

Lead the development of an enterprise-wide Data Governance approach, defining governance models, standards and accountability across business and technology functions. The work supports reliable data, reporting, analytics and AI across the organization.

Wymagania

10+ years of experience in Data Governance, Data Management, Data Quality, MDM, Information Management, Reporting Governance, Analytics Governance or related areas.
Proven experience developing and implementing enterprise-level governance frameworks and operating models.
Strong understanding of data ownership, stewardship, data quality, metadata, lineage, business glossaries and master data.
Experience with reporting governance, KPI management and governance of analytics or AI solutions.
Experience working 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 ability to make decisions in complex environments.
Excellent stakeholder management and communication skills, including the ability to influence senior stakeholders.
Experience facilitating discussions, resolving conflicts and building alignment across different functions.
Pragmatic and delivery-oriented approach, balancing governance requirements with business flexibility.
Fluent English and experience working in an international environment.

Obowiązki

Data Governance Strategy

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

Policies, Standards & Governance Frameworks

Develop and maintain policies, principles and standards for data ownership, stewardship, quality and metadata.
Define governance principles for master data and business terminology.
Establish standards for reliable and consistent reporting, dashboards and KPIs.
Define governance expectations for analytics and AI solutions, including accountability, documentation, transparency and monitoring.
Ensure governance processes remain practical and proportionate to business needs.

Data Quality & Master Data

Establish and oversee an enterprise Data Quality framework.
Define data quality expectations, thresholds, ownership and remediation processes.
Develop governance principles for Master Data Management, including ownership, stewardship and golden records.
Support consistent data definitions and harmonization across business areas.
Establish mechanisms for monitoring data quality and driving continuous improvement.

Reporting, Analytics & AI

Establish governance principles for management and operational reporting.
Define ownership and approval processes for key business metrics and KPIs.
Support the use of trusted and agreed data sources across reporting and analytics.
Define governance expectations for advanced analytics, machine learning and AI solutions.
Ensure analytical and AI-driven outputs are controlled, documented and aligned with business and risk requirements.

Collaboration & Accountability

Define responsibilities for Data Owners, Data Stewards and other governance stakeholders.
Work with Data, Analytics, Reporting, Architecture, Security, Privacy, Legal, Risk and other relevant functions.
Ensure governance principles are incorporated into technology platforms, projects and operational processes.
Facilitate cooperation between business and technology teams on data-related topics.

Leadership & Continuous Improvement

Lead and develop the Data Governance function and its capabilities.
Establish governance KPIs, risk indicators and maturity measures.
Prepare management-level reporting on governance progress, risks and areas requiring attention.
Adapt the governance model to changing business, regulatory and technology requirements.

Link Group

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