Enterprise Data Manager (Data steward)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Enterprise Data Manager (Data steward): Drive data ownership, standards, and lifecycle practices across enterprise applications with an accent on data governance, information classification, and scalable data quality remediation. Focus on influencing senior stakeholders and enabling reliable, enterprise-ready data for analytics, automation, and AI use cases.
Location: Prague, Czech Republic (hybrid office set up)
Company
is a software company focused on continuous testing and software quality assurance.
What you will do
- Define, own, and evolve enterprise data standards, definitions, and quality expectations across business applications and collaboration platforms
- Establish and enforce data ownership and accountability with senior application owners and business stakeholders
- Lead improvements to data and content lifecycle practices (creation, maintenance, quality management, retention, and retirement)
- Drive adoption of document and content classification levels aligned with security, privacy, and compliance requirements
- Identify, prioritize, and lead remediation of data/content quality issues (duplication, inconsistent naming, outdated content, unclear ownership)
- Enable analytics, automation, and AI use cases by ensuring data and content are reliable, well-structured, and enterprise-ready
Requirements
- 10+ years of experience in data management, data governance, information management, or related roles
- Proven experience leading enterprise-wide data governance initiatives in complex environments
- Hands-on experience with enterprise SaaS applications and collaboration platforms (e.g., SharePoint, Confluence, Salesforce)
- Strong understanding of data quality, data lifecycle management, and information classification concepts
- Ability to influence senior stakeholders and drive change without direct authority
- Strong communication skills in English
Culture & Benefits
- Flexible working schedule (no core hours)
- 25 days of paid time off, plus 3 sick days
- Hybrid work environment with home-office allowance
- Pension contribution, meal allowance, and life & disability insurance
- 2 days of paid volunteering leave per year
Hiring process
- Interviews to assess data governance experience, stakeholder influence, and hands-on familiarity with enterprise SaaS/collaboration platforms
- Discussion of how governance strategy translates into practical controls, documentation, and adoption
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