HR Data Management Specialist

About The Job As an HR Data Management Specialist, you will be responsible for maintaining high standards of HR data quality, consistency, and governance across SAP SuccessFactors and connected systems. In this role, you will act as a trusted partner for HR teams, ensuring data accuracy, supporting reporting and analytics, and driving continuous improvements in HR data processes. Your work will help enable data-driven decision-making and provide a reliable foundation for people-related insights across the organization. Key Responsibilities Ensure the accuracy, quality, and consistency of HR data within SAP SuccessFactors and across integrated platforms. Monitor and analyze data quality, identify discrepancies, and coordinate corrective actions with relevant stakeholders. Support and maintain data synchronization processes between core HR systems and connected applications. Collaborate with HR Data Stewards and business stakeholders to improve, simplify, and standardize HR data management practices. Contribute to HR data governance initiatives by establishing and maintaining data quality controls and processes. Prepare, monitor, and publish HR data quality KPIs and dashboards, gathering inputs from multiple regions and teams. Support the design, testing, and validation of SAP SuccessFactors reports to ensure reliable and meaningful insights. Maintain and enhance the SAP SuccessFactors HR Data Model in partnership with data owners and system experts. Identify opportunities for process improvements and drive initiatives that increase data integrity, efficiency, and user experience. Serve as a subject matter expert on HR data, supporting stakeholders with data-related questions, reporting needs, and best practices. About You Service-oriented mindset and customer centricity Ability to understand and design efficient data flows Understanding of HR data and associated processes Technical skills and understanding of BI tools (Power BI) and similar Ability to lead a small expert team Ability to work in a highly matrixed international environment Ability to explain SuccessFactors data model to non-technically minded colleagues Understanding of system development life-cycle, software and database structures, testing cycles Be able to document and ensure consistency of data management between systems Fluency in English minimum 4-5 years experience About Us Hybrid work model – 3 days remote, 2 days from our office at Bobrowiecka 8 Development opportunities in a top company – Forbes-ranked leader and Friendly Workplace award winner AI Copilot implemented to support your daily work Unlimited access to learning resources, including Campus X and LinkedIn Learning Growth culture supported by regular feedback and internal recruitment opportunities Wellbeing initiatives – webinars, podcasts, massages, and more Workation – up to 30 days of remote work from anywhere within the EU Social fund benefits (ZFŚS) – co-financing and employee loans Comprehensive benefits package – private medical care (including private childbirth), insurance, Multisport, employee discounts (DANrabaty), and more Cafeteria benefits platform Baby starter kit with our products Referral program – rewards for successful recommendations Employee share purchase program After clicking the 'Apply' button you will create your profile in the recruitment system by uploading your CV. We will carefully review your experience and then we will arrange the selected candidates for the first Teams interview. We embrace diversity in our organization. This means giving full and fair consideration to all applicants without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status. Administratorem Twoich danych osobowych udostępnionych w profilu oraz w dokumentach składanych w ramach rekrutacji jest Danone Sp. z o.o. z siedzibą w Warszawie (ul. Bobrowiecka 8, 00-728 Warszawa). Danone Sp. z o. o. with its registered office in Warsaw (ul. Bobrowiecka 8, 00-728 Warszawa) is the controller of your personal data disclosed in the profile and in documents submitted during the recruitment process.