Data Manager - Digital Workplace and Facilities Services

Procter & Gamble (P&G) operates projects with world leading IT partners and technologies, focusing on Employee Care data management within People Services such as HR and IT support tiers.

• Degree in Computer Science, Information Management, Data Analytics, Business Analytics, or related field (Master's preferred).
• 3+ years experience in data stewardship, data management, or data governance.
• Hands-on experience managing data from ServiceNow or comparable ITSM/ticket platforms.
• Proven experience designing and running data change management including regression and NNIT testing.
• Strong understanding of canonical data modeling, taxonomies, and data standardization.
• Working knowledge of data architecture principles sufficient for engagement with architecture artifacts.
• Strong hands-on SQL skills and experience in data quality assessment.
• Experience working in or with Databricks.
• Ability to partner with business stakeholders to align on KPI definitions and terminology.

Preferred:

• Background in Employee Care, HR Services, IT Service Management, or Shared Services.
• Familiarity with cloud data platforms (Databricks, Azure, AWS).
• Experience using or enabling Power BI or comparable BI tools.
• Certifications in data governance, data management, or ITSM domains.
• Experience contributing to data contracts with SaaS vendors.

Source Data Stewardship & Governance:

• Own primary data stewardship for Employee Care source systems like ServiceNow and AskEve/Rezolve.
• Map tables and fields to analytics needs, assess data completeness, and work with platform owners to close data gaps.

Source Data Change Management:

• Establish and manage formal change management processes including schema and workflow changes.
• Conduct impact assessments, communication, sign-offs, validation, and maintain regression and No-Negative-Impact Testing (NNIT) protocols.

Data Strategy for Employee Care:

• Define data asset strategy and roadmap in collaboration with Product Owner.

Business Partnership:

• Align with HR, IT, and Support stakeholders on business nomenclature and KPI definitions.
• Maintain a living business glossary.

Data Quality:

• Assess source data quality, define quality rules and thresholds, design monitoring, and lead remediation.

Taxonomy Design & Canonical Data Modeling:

• Lead design and implementation of employee intent taxonomy and service accountability model.
• Govern canonical data model for standardized definitions.

Data Architecture Partnership:

• Collaborate with Data Architects and Engineering teams on models, integrations, and scalability.

Metadata Management & Data Cataloging:

• Manage metadata and lead cataloging activities for data assets.

Data Asset Validation & Testing:

• Define test cases and acceptance criteria; maintain regression tests and coordinate validation.

Employment at P&G is exclusively on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Applicants must agree to these conditions. The employer is an equal opportunity provider and offers reasonable accommodations for individuals with disabilities during the application process.