8 дней назад
Data Governance & Lifecycle Enablement Lead (Data Governance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Governance & Lifecycle Enablement Lead (Data Governance): Building enterprise-wide data governance, quality, metadata, and lifecycle capabilities across a wealth management bank with an accent on trusted data, business glossaries, data dictionaries, lineage, and governance standards. Focus on driving adoption across business and technology functions, improving governance maturity, and managing data from creation through archival and disposal.
Location: Zurich, Switzerland
Company
is a wealth management bank undergoing a strategic, data-centric transformation.
What you will do
- Shape enterprise-wide data capabilities and influence how data is managed across the bank.
- Partner with senior business and technology stakeholders on strategic transformation initiatives.
- Drive enterprise data governance, data quality, and data lifecycle management frameworks.
- Establish business glossaries, data dictionaries, metadata standards, and end-to-end data lineage.
- Define standards, controls, and metrics to improve governance maturity and data quality.
- Lead adoption, data literacy, stakeholder engagement, and data-driven culture initiatives.
Requirements
- University degree in business informatics, computer science, banking, finance, or a related field.
- Experience in data governance, metadata management, data quality, and data lifecycle management.
- Experience with enterprise data catalogue platforms such as Informatica, Collibra, or Microsoft Purview.
- Experience with data catalogues, lineage, governance, metadata, and records management tools.
- Strong analytical, conceptual, problem-solving, stakeholder management, and collaboration skills.
- Fluent English required; German is an advantage.
Culture & Benefits
- Work in a complex banking environment with business and technology stakeholders.
- Opportunity to drive change, challenge the status quo, and strengthen data-centricity across the organization.
- Full-time employment at 80–100% capacity.
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