Overview
Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.
A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.
To learn more visit: www.syngenta.com
Job Description
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.
- 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.
- 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.
- 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 - Bachelor’s 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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