7 часов назад
Data Manager - Digital Workplace and Facilities Services (ServiceNow)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Manager - Digital Workplace and Facilities Services (ServiceNow/Databricks): Owning data stewardship, governance, quality, and asset management for the Employee Care ecosystem with an accent on ServiceNow data, canonical modeling, taxonomies, and stakeholder-aligned KPI definitions. Focus on designing change-management and regression testing processes, building automated data-quality monitoring, and validating scalable data assets across support systems.
Location: Bucharest office, Romania; hybrid work-from-home/work-from-office option
Company
Procter & Gamble is a global consumer goods corporation.
What you will do
- Own end-to-end stewardship, governance, and management of the Employee Care data ecosystem.
- Manage source data from ServiceNow, AskEve, and Rezolve, mapping source structures to analytics needs and closing data gaps.
- Establish change-management processes for schema, field, value-list, and workflow changes, including impact assessments, sign-offs, regression testing, and NNIT validation.
- Define data-quality rules, thresholds, monitoring mechanisms, and remediation activities with source-system owners.
- Lead employee-intent taxonomy, service-accountability model, canonical data modeling, metadata management, and data cataloging.
- Partner with HR, IT, Support Operations, architects, engineers, QA, and business SMEs on KPI definitions, architecture reviews, data-asset validation, and release acceptance.
Requirements
- Degree in Computer Science, Information Management, Data Analytics, Business Analytics, or a related field; a master’s degree is preferred.
- 3+ years of experience in data stewardship, data management, or data governance.
- Hands-on experience with ServiceNow or a comparable ITSM or ticket-management platform.
- Experience designing and running data change-management processes, including regression and NNIT testing.
- Strong understanding of canonical data modeling, taxonomies, data standardization, data architecture principles, SQL, and data-quality assessment.
- Experience working with Databricks and aligning KPI definitions and business terminology with stakeholders.
Nice to have
- Background in Employee Care, HR Services, IT Service Management, or shared services.
- Familiarity with Databricks, Azure, AWS, Power BI, or comparable analytics tools.
- Certifications in data governance, data management, or ITSM.
- Experience contributing to data contracts with SaaS vendors.
Culture & Benefits
- Full-time employment contract with a hybrid work arrangement and flexible working schedule.
- Competitive salary package, annual bonus, and vacation bonus.
- Private medical, life, accident, dental, and ophthalmological insurance benefits.
- Stock Ownership Plan with company matching on eligible investments.
- Meal allowance, private canteen, sports reimbursement, learning platforms, and Employee Assistance Program.
- Maternity and paternity support, including additional salary protection and paternity leave.
Hiring process
- The full recruiting process is explained in the provided recruiting video.
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