P&G

Data Manager - Digital Workplace and Facilities Services

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MidZdalnie·WarszawaFull-time

#447900·Dodano 23 dni temu·3

Źródło: P&G

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Tech Stack / Keywords

ServiceNowAskEveRezolvedata governancecanonical data modelingSQL Databricks Azure AWSPower BI

Firma i stanowisko

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.

Wymagania

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.

Obowiązki

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.

Benefity

Access to P&G-sized projects and top IT partners and technologies from Day 1.
Wide range of self-development opportunities including training and certification paths.
Competitive starting salary and benefits including private health care, P&G stock, savings plans, and sport cards.
Regular salary increases and potential promotions based on performance.
Opportunity to change role every few years.
Hybrid work model with option to work from home two days a week.

Opieka zdrowotna

Karta sportowa

Udziały pracownicze

Inne informacje

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.

P&G

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