Data Manager - Digital Workplace and Facilities Services

Procter & Gamble is hiring for a Data Manager role focused on the Employee Care data ecosystem within their Digital Workplace and Facilities Services. The candidate will work across three interconnected teams: Employee Care D&A Product team, Employee Care Service team, and Employee Insights Program, contributing both strategically and operationally to data stewardship and governance.

• 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 similar ITSM/ticket management platforms.
• Experience designing and running data change management processes, including regression and NNIT testing.
• Strong understanding of canonical data modeling, taxonomies, and data standardization.
• Working knowledge of data architecture principles and engagement with architecture artifacts.
• Strong hands-on SQL skills and experience with data quality assessment.
• Experience working with Databricks.
• Ability to partner with business stakeholders to align on KPI definitions and business terminology.

Preferred:

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

1. Own Source Data Stewardship & Governance:

• Act as primary data steward for Employee Care source systems, including ServiceNow and AskEve/Rezolve.
• Map tables and fields to analytics needs, assess data completeness, and collaborate with platform owners to close data gaps.

2. Lead Source Data Change Management:

• Establish and manage formal change management processes for schema, fields, value lists, and workflows.
• Conduct impact assessments, communication, approvals, validation, and maintain regression and No-Negative-Impact Testing (NNIT) protocols.

3. Shape the Data Strategy for Employee Care:

• Define data asset strategy and priorities in partnership with the Employee Care D&A Product Owner.

4. Build Business Partnership Around Definitions & KPIs:

• Align with HR, IT, and Support Operations on KPI definitions and business terminology.
• Maintain a business glossary for the Employee Care domain.

5. Define and Monitor Data Quality:

• Assess and define data quality rules, monitor data quality, and lead remediation with data owners.

6. Lead Taxonomy Design & Canonical Data Modeling:

• Design employee intent taxonomy and service accountability model for classification.
• Govern the canonical data model standardizing definitions across support tiers.

7. Partner on Data Architecture:

• Collaborate with architects and engineers on conceptual, logical, and physical models, integration designs, and data flows.

8. Drive Metadata Management & Data Cataloging:

• Manage metadata and lead data cataloging activities, ensuring business definitions, lineage, ownership, and quality metrics.

9. Own Data Asset Validation & Testing:

• Define test cases and acceptance criteria, maintain regression tests, and partner with QA and business SMEs to validate data assets.

Employment at Procter & Gamble is offered exclusively on the basis of a full-time employment contract ("Umowa o Pracę"). Applications should only be submitted if the candidate agrees to these conditions. The company is an equal opportunity employer and provides reasonable accommodations for persons with disabilities during the application process.