BUCHAREST OFFICE
You are an experienced data domain owner or data asset manager who thrives at the intersection of data governance, business partnership, and hands-on analytics. You know how to bring order to complex, multi-source data ecosystems — and you care deeply about data quality and trust.
In this role, you will own the end-to-end data stewardship, governance, and management of the Employee Care data ecosystem — from defining how data is sourced and structured, to ensuring it is trusted, well-defined, and ready for downstream analytics and reporting.
You will be embedded across three connected teams: the Employee Care D&A Product team, the Employee Care Service team, and the Employee Insights Program — giving you both strategic visibility and operational grounding.
This is a hands-on leadership role. You will move fluidly between deep data analysis, governance design, business partnership, and data asset design — and you will be a key voice in shaping how Employee Care data creates business value.
Why This Role Matters
The Employee Care Data & Analytics portfolio is rapidly expanding. Its ambition goes beyond improving day-to-day support operations — it aims to transform the employee experience, elevate service quality across all People Services, and turn employee needs signals into actionable insights that unlock superior service delivery across Self-Serve, L1, L2+, HR, and IT support tiers.
You will be a foundational enabler of that ambition.
You will be the primary data steward for Employee Care source systems — principally ServiceNow (ticket data) and AskEve/Rezolve (chat and self-serve interaction data). You will map tables and fields to analytics needs, assess data sufficiency and completeness, and work with platform owners to close identified data gaps. You will ensure data at the source is trusted and fit for downstream use.
You will establish and own a formal change management process covering schema changes, field additions, value list updates, and workflow changes across in-scope data systems. This includes impact assessments, structured communication, sign-off processes, post-implementation validation, and maintaining regression and No-Negative-Impact Testing (NNIT) protocols — so that changes never silently break downstream analytics.
Working closely with the Employee Care D&A Product Owner, you will help define a forward-looking data asset strategy — what data assets are needed, how they should be structured and prioritized, and how they should evolve. You will bring a strategic data perspective into planning and roadmap discussions.
You will partner with HR, IT, and Support Operations stakeholders to align on business nomenclature and KPI definitions — driving consensus so that everyone is working from the same shared understanding of key metrics and terms. You will maintain a living business glossary for the Employee Care domain.
You will deep-dive into source data to assess quality, completeness, consistency, and fitness for defined analytics use cases. You will define data quality rules and thresholds, design automated monitoring mechanisms, and lead remediation efforts with source system owners when issues arise.
This is one of the most impactful parts of the role. You will lead the design, alignment, and implementation of an employee intent taxonomy and a service accountability model — enabling consistent classification of chat transcripts and employee interactions for reporting on recurring issues and identifying the accountable service team to address them. You will also govern the canonical data model that standardizes definitions and structures across all support tiers.
You will collaborate with Data Architects and Engineering teams — reviewing conceptual, logical, and physical data models, integration designs, and data flows. You will ensure architectural designs meet business needs, align with the canonical model, and support scalability. You bring enough data architecture knowledge to evaluate trade-offs and recommend improvements constructively.
You will manage metadata for Employee Care data assets and lead data cataloging activities — ensuring all published assets carry complete business definitions, lineage, ownership, quality metrics, and usage guidance. You will champion catalog adoption across the analytics community.
You will define test cases, expected outcomes, and acceptance criteria for validating data assets before production release. You will maintain regression test suites and partner with QA, engineering, and business SMEs to execute validation and secure sign-off.
Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch-v=0bicvbpy0gI
Kindly be advised that at P&G, employment is exclusively extended on the basis of an Full-time Employment Contract. Apply only if you agree to these conditons.
Full time
R000158740
Experienced Professionals
P&G was founded more than 185 years ago as a soap and candle company. Today, we’re one of the world’s largest consumer goods companies and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®.
The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers.
There is no single equation for success at P&G, because no two P&G people or careers are alike. Just as we strive to deliver a superior consumer experience, we aim to deliver a superior employee value equation as well. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world.
Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from Day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
