Data Management and Governance Lead
Role details
Job location
Tech stack
Job description
We have an exciting opportunity for a Data Management and Governance Lead to design, implement, and lead robust and sustainable data governance and management frameworks, policies, standards and process within Process Technology department in alignment with business needs requirements. Within this role you will ensure effective data lifecycle management alongside critical data governance complying with required standards for quality, integrity, and compliance, thereby maximizing their value for decision-making, analysis, and predictive modelling. You will act as a champion for data governance best practices and drive a data-driven culture across the organization. Additional key responsibilities will include:
- Collaborating extensively with business stakeholders (e.g., Data Domain Leads, Data Stewards, Data Product Owners, Data Managers, IT, Digital R&D, DPI, R&D and other functions) to identify, agree upon, and document data and knowledge management, quality, and governance requirements.
- Capturing current data governance and management processes and mechanisms, and designing/documenting future-state processes, including roles, responsibilities, performance metrics, and operational flows.
- Promoting the importance of data, advocating for the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
- Leading initiatives for continuous improvement in data quality and data maturity through innovative approaches and the integration of principles, policies, and controls into working practices.
- Defining and implementing processes for data creation, storage, maintenance, archival, and deletion.
- Coordinating and overseeing master data management initiatives, ensuring consistent data definitions across systems.
- Facilitating seamless data integration across different platforms and systems.
Requirements
Do you have experience in Quality management?, Do you have a Master's degree?, * Master's degree (M.A./M.Sc.) or higher in a relevant field such as Organic Chemistry, Chemical Engineering, Data Management, Information Technology, or a related scientific/technical discipline.
- Proven experience in data-related roles.
- Demonstrated experience in leading data governance or management projects.
- Proficiency in data governance, data quality management, and metadata management.
- Familiarity with data standards and best practices.
- Understanding of database management systems and data warehousing with the ability to understand how data enables functional improvement, productivity, and advanced analytics (e.g., predictive modelling).
- A continuous learning attitude, with the ability to keep up with the latest trends, technologies, and best practices in data governance and management fields.
- Demonstrated ability to influence and drive data initiatives across multiple stakeholders to achieve organizational objectives.
Desirable skills/experience
- Experience in a life sciences technical area (e.g., agriculture, pharmaceutical, biotech, chemistry).
- Working knowledge of Databricks platform and Data Mesh architecture principles.
- German or French knowledge.
Benefits & conditions
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday.
- Campus environment.
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
- The chance to work with and learn from highly qualified and experienced employees.
- A vibrant growth and learning culture and wide range of training options.
Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.
