MDM Data Management Specialist
Basel, Switzerland
Syngenta Group
Company Description
Syngenta Group is a $28B leading science-based agtech company, operating in more than 100 countries, with more than 50’000 employees. We are proud to stand at the forefront of the tech revolution in agriculture. Using the latest digital innovations, data, and cutting-edge technologies we want to transform the way that crops are managed and enable farmers and agronomists to enhance efficiency and sustainable food production.
Our business success reflects the quality and skill of our people. We recognize that human diversity is as important to our business as biodiversity. Embracing the unique perspectives and capabilities of our employees helps us continue to catalyze innovation, maximize performance, and create business value. Join us and help shape the future of agriculture.
Job Description
As a MDM Data Management Specialist, you will learn to act as a critical partner between the product owners of our master data systems and the central reference system in Research & Development. You will be working closely with data owners and stewards to ensure data interoperability and data quality across our reference, common vocabulary, and master data systems.
The ideal candidate will demonstrate the advantages of reusing a controlled common vocabulary while ensuring a favorable cost/benefit ratio; will work on continuous improvement of data interoperability and data quality while championing automation, advanced analytics, and machine learning for data management; will advocate the use of external sources of Common Vocabulary (EPPO, ontologies, SciFinder, etc.) to make our data more relevant and operable to the grower.
We all have a critical role to play and add value. Here is how this role will help:
- Provide leadership in data management such as implementing and promoting data management best practices, Data Governance and Quality Framework
- Coordinate data quality curation between Research and Development publishing systems, monitor data flows between systems, run impact assessment, make recommendations for improvements and track remediation
- Collaborate with project teams and product owners to maximize the re-use of our controlled common vocabulary and optimize the interoperability of our reference and master data across Research and Development systems
- Create guidelines for data structure within an organization to ensure consistency in how information is stored, organized, and accessed
- Become the primary contact for business process implementation and change request management
- Forges networks of key stakeholders, data stewards and experts in the R&D functions to drive engagement
- Define, measure, and monitor KPIs for adoption of controlled vocabulary and success of data harmonization and alignment across systems
- Work with business and IT functions to maintain data in the central reference system, fulfill user requests, run user acceptance testing, and provide training & support to users
Qualifications
We are highly people-focused – we look for professionals who are engaged, collaborative and excellent in execution. Leaders are expected to communicate effectively, develop teams and lead by example. Our industry and our function are changing rapidly so we are looking for new team members with a strong desire to develop themselves. You will be a great fit if you have:
- 3+ years of work experience in Master or Reference Data Management
- Experience in a life science industry is beneficial
- University Bachelor’s Degree in a STEM discipline (Science, Technology, Engineering or Mathematics)
- Awareness of advancements in best practices and technologies in Data Management
- Fluency in English, additional languages beneficial
Additional Information
WHAT WE OFFER
- A role which contributes to valuable and impactful work in a stimulating and international environment
- Flexible working arrangements and environment with an open culture and diverse workforce, a possibility of working from home
- Competitive salary and benefits package
- The opportunity to work with and learn from highly qualified and experienced employees
- A culture that promotes work/life balance, celebrates diversity and offers numerous events throughout the year
- Learning culture and a wide range of development options, including access to learning platforms (Degreed, LinkedIn Learning, O’Reilly)
- High quality office environment
Syngenta has been ranked as a top employer by Science Journal.
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, marital or veteran status, disability, or any other legally protected status.
Tags: Data governance Data management Data quality Engineering KPIs Machine Learning Mathematics R R&D Research STEM Testing
Perks/benefits: Career development Competitive pay Flex hours Team events
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