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Procter & Gamble

Makes household and personal care products

Data Manager - Digital Workplace and Facilities Services

Data ManagementConfirmed live in the last 24 hours
Full-timeBucharest, RomaniaRON14.7k - RON19.6k /mo

About the Job

Requirements

  • A degree in Computer Science, Information Management, Data Analytics, Business Analytics, or a related field.
  • At least 3 years of experience in data stewardship, data management, or data governance.
  • Hands-on experience managing data from ServiceNow or a comparable IT service management or ticket management platform.
  • Proven experience designing and running data change management processes, including regression and No-Negative-Impact Testing.
  • A strong understanding of canonical data modeling, taxonomies, and data standardization across complex, multi-tier environments.
  • Working knowledge of data architecture principles sufficient to critically engage with and contribute to architecture artifacts.
  • Strong hands-on SQL skills and experience with data quality assessment.
  • Experience working in or with Databricks.
  • Demonstrated ability to partner with business stakeholders to align on key performance indicator definitions and business terminology.

Responsibilities

  • Own end-to-end data stewardship, governance, and management of the Employee Care data ecosystem, from defining data sourcing and structure to ensuring data is trusted, well-defined, and ready for downstream analytics and reporting.
  • Serve as the primary data steward for Employee Care source systems, principally ServiceNow ticket data and AskEve/Rezolve chat and self-service interaction data; map tables and fields to analytics needs, assess data sufficiency and completeness, work with platform owners to close data gaps, and ensure source data is fit for downstream use.
  • Establish and own a formal change management process for schema changes, field additions, value list updates, and workflow changes across in-scope data systems. Conduct impact assessments, structured communications, sign-offs, post-implementation validation, and maintain regression and No-Negative-Impact Testing protocols.
  • Work with the Employee Care Data & Analytics Product Owner to define a forward-looking data asset strategy, including the assets needed, their structure and prioritization, and how they should evolve; contribute a strategic data perspective to planning and roadmap discussions.
  • Partner with Human Resources, Information Technology, and Support Operations stakeholders to align business terminology and key performance indicator definitions, build consensus around shared definitions, and maintain a living business glossary for the Employee Care domain.
  • Assess source data quality, completeness, consistency, and fitness for defined analytics use cases; define data quality rules and thresholds, design automated monitoring, and lead remediation with source system owners when issues arise.
  • Lead design, alignment, and implementation of an employee intent taxonomy and service accountability model to consistently classify chat transcripts and employee interactions for reporting recurring issues and identifying accountable service teams; govern the canonical data model that standardizes definitions and structures across support tiers.
  • Collaborate with Data Architects and Engineering teams to review conceptual, logical, and physical data models, integration designs, and data flows; ensure architectural designs meet business needs, align with the canonical model, support scalability, and recommend improvements based on data architecture trade-offs.
  • Manage metadata for Employee Care data assets and lead cataloging activities, ensuring published assets include business definitions, lineage, ownership, quality metrics, and usage guidance; champion catalog adoption across the analytics community.
  • Define test cases, expected outcomes, and acceptance criteria for validating data assets before production release; maintain regression test suites and partner with quality assurance, engineering, and business subject-matter experts to execute validation and secure sign-off.

Desired Qualifications

  • A master's degree is preferred.
  • Background in Employee Care, Human Resources Services, IT Service Management, or a Shared Services environment.
  • Familiarity with modern cloud data platforms, including Databricks, Azure, or AWS.
  • Experience using or enabling Power BI or comparable business intelligence and analytics tools.
  • Certifications in data governance, data management, or IT service management domains.
  • Experience contributing to data contracts with software-as-a-service vendors.

About the Company

Procter & Gamble

Makes household and personal care products

Procter & Gamble makes household and personal care products that consumers use for cleaning, grooming, hygiene, and everyday health. Its portfolio includes Tide laundry detergent, Pampers diapers, Gillette razors, and Crest toothpaste, with brands tailored to different needs and markets. The company develops and manufactures these branded goods, then earns revenue by selling them through retailers, distributors, online stores, and direct consumer channels. Its businesses span beauty and hair care, shaving, oral and personal health, fabric and home care, and baby and family care. Founded in 1837, Procter & Gamble is headquartered in Cincinnati, Ohio.

Company size
10,001+
Company stage
IPO
Headquarters
Cincinnati, OH
Founded
1837

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