S2P SLM Data Steward Expert

Beschreibung:

Job Description Summary#LI-Hybrid
Location: Prague, Czech Republic

The Source to Pay Supplier Life Management Data Steward is a subject matter expert responsible for maintaining, governing, and optimizing vendor master data quality within the Source-to-Pay lifecycle. You will validate incoming requests, ensure compliance with corporate standards, perform data integrity checks, call back, sensitive checks and continuously seek out opportunities to improve processes and enhance data accuracy. A deep understanding of SAP, MDG-S, ORO, excel master data modules is critical, as is the ability to collaborate effectively with internal and external stakeholders.

Job Description

Job Description

Key Responsibilities:
* Drive and coordinate continuous Improvement and Team operational governance, act as SME within the Team and towards Business, managing exceptions and complexity in an E2E manner. Provide couching and counseling to junior team members.
* Validate the correctness of incoming requests for vendor creation and updates, ensuring proper supporting documentation is provided. Oversee special projects related to vendor data e.g., listing new vendors, unblocking suspended vendors.
* Conduct regular data audits, identifying duplicates, outdated records, and formatting inconsistencies. Perform root cause analysis of data issues; take corrective action to prevent recurring errors.
* Contribute to defining and implementing a Master Data Governance model, including approval workflows and data lifecycle management.
* Act as a central point of contact for vendor master data inquiries from Finance, Procurement, and other relevant teams.
* Present findings and recommendations to management and cross-functional teams for continuous improvement

Essential Requirements:
* Bachelor's degree in business, Finance, Accounting, Data Management, or a related field.
* Strong proficiency in SAP (S4/HANA) or similar ERP systems; knowledge of ETL tools is a plus.
* Knowledge about ORO is nice to have
* Excellent attention to detail, critical thinking, and analytical skills.
* High level of proficiency in MS Office (Word, Excel) for reporting and data analysis.
* Strong communication skills (written and verbal) in English; additional European language(s) is a plus.
* Availability to work in shifts when required, maintaining flexibility for urgent data-related requests.

Benefits & Rewards
Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program - choice of benefits from Benefit Plus Cafeteria in the amount of 17,500 CZK per year; Meal vouchers in amount of 105 CZK for each working day (full tax covered by company); Public Transportation Allowance; MultiSport Card, Employee Share Purchase Plan. Find out more about Novartis Business Services: https://www.novartis.cz/

Commitment to Diversity and Inclusion
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to di.cz@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills DesiredAbility To Influence Key Stakeholders, Building Effective Teams, Critical Thinking, Effective Communications, Financial Accounting, Financial And Management Reporting, People Development, Process Optimization, Resource Allocation, Understanding Value Drivers