Enterprise Master Data Architect
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Purpose:
This is a critical role within ERP architecture function focusing on overall master data including Business Partner (Customer & Vendor data) Finance Material etc. As the global custodian of Enterprise master data architecture the role holder will drive data integrity and consistency across the organization. They will collaborate closely with senior stakeholders IT Integration teams and the Digital Transformation group to assess and manage changes to master data architecture. This role requires a strategic mindset to anticipate the impact of data modifications on various business processes and systems. The successful candidate will play a crucial part in ensuring overall enterprise data architecture data quality compliance and ultimately supporting informed decision-making and business growth.
Accountabilities:
Lead the data architecture design across multiple SAP products and instances along with non-SAP systems.
Define data governance strategies master data management (MDG) and metadata standards. Provide Leadership for execution of programs using these documented strategies.
Architect data migration strategies for SAP S/4HANA projects and major programs including ETL data validation and reconciliation.
Develop data models (conceptual logical and physical) aligned with business and technical requirements.
Collaborate with functional and technical teams to ensure master data flow across SAP and non-SAP platforms.
Establish data quality frameworks and monitoring practices. Drive the adoption of the frameworks with the Owning teams.
Lead the orchestration of Data for usage in AI frameworks and visualisation platforms.
Work with integration team to implement/optimize integration solutions to connect SAP/Non-SAP systems and ensure seamless master data flow.
Exposure working and evaluating new technologies to improve master data quality and architecture.
Exposure working on various compliance / regulations like SOX GDPR and others.
Exposure working on MDM / MDG implementation as data / enterprise architect.
Familiar with new MDG cloud / AI based services.
Ability to lead and influence stakeholders to drive data related initiatives.
Exposure working on various data frameworks like TOGAF DAMA and Zachman.
Identify existing master data tools (including third party tools like DnB Address Doctor) and exploit to its full potential.
Ability to convert and design complex business requirements.
Experience managing business escalation.
Exposure managing mergers and acquisitions and making sure data strategy is aligned with Syngenta architecture.
Commitment to staying current with evolving technologies and industry best practices.
Willingness to acquire new skills and knowledge as required by this role.
Self-motivated with the ability to work independently and take initiative.
Required Capabilities / Skills:
Familiarity with data architecture frameworks and best practices.
Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.
Must be able to collaborate with cross-functional teams to solve complex problems and develop innovative solutions.
Must have good troubleshooting skills and be able to help other people with their work.
Familiarity with the latest Generative AI models.
Good understanding of Data Integration technologies.
Good understanding of API-First architecture.
Good understanding of enterprise data projects (data warehouses/master data management etc.) with hands-on data analysis.
Experience with Agile and DevOps processes.
Must be able to deal with ambiguity and adapt to changing business needs.
Good team player self-motivating and committed with an ability to work under pressure and to meet tight deadlines.
Ability to work independently and have knowledge of all aspects of the Software Development Lifecycle.
Experience Requirements:
18-20 years of experience in managing master data processes and architecture.
Proven track record in complex multinational environments.
Demonstrated ability to implement and optimize data governance strategies.
Good understanding of the Data architecture discipline processes concepts and analytics best practices.
Data Governance Security Privacy and Compliance requirements for an enterprise.
Possess strong knowledge of industry best practices around modern data architecture.
Background in SAP/ERP SAP MDG BODS etc. is preferable.
Qualifications :
Minimum 15 years of education - Bachelors degree in computer science Engineering MBA or a related field.
Additional Information :
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status.
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Work :
No
Employment Type :
Full-time
Key Skills
- SAP BusinessObjects
- Enterprise Architecture
- Hybris
- SAP HANA
- SAP
- TOGAF
- Solution Architecture
- Cloud Architecture
- SAP BW 4HANA
- Salesforce
- SAP S/4HANA
- SAP ERP
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