To provide leadership in the use of data analysis techniques and structured problem solving to support Supply Chain Operations and SPR activities.
To provide data analysis support in identifying trends in non-conforming product and assist in roots cause analyzes to identify necessary corrective actions.
To provide expert support in the use and development of data science and modeling such as PYE project.
Provide data analysis leadership for the region by dissemination of technical expertise within local SPR and Supply Chain Operations manufacturing site super users.
Establish and maintain networks within the region, between regions, with the CP statistics community and with global SPR to aid problem solving and establish best practice in data analysis.
Identify and progress data analysis initiatives and opportunities to improve the effectiveness of SPR development activities (plant efficiency and quality improvements and reducing variability in plant operations), and to support the introduction of Manufacturing Excellence programmes.
Provide statistical expertise to ensure planned trials generate statistically significant results an thereby ensuring full value from employed resources.
Develop and coach colleagues in the use of data analysis techniques including the 7 Simple Tools and design of experiments. Encourage the use of these tools within regional SPR and Supply Chain Operations manufacturing communities.
Monitor external data analysis advances and identify and progress potential applications. Collaborate with external bodies as appropriate.
Provide expert support in the use and development of GenEx (PYE, YES, CAT, etc.,).
Provide data analysis support to identify trends in, and root causes of, non-conforming product (process deviations).
Critical experience and knowledge.
Experience of data driven problem solving and graphical analysis.
Industry experience in using multi variate analysis, data modelling and experimental design.
Experience and understanding of seeds multiplication and processing activities.
Critical technical and professional capabilities.
Ability to motivate and share knowledge and expertise with others.
Ability to analyse complex and diverse problem situations creatively leading to the generation and implementation of effective solutions.
Ability to convey the right level of detail to the right audience verbally, in writing, or by presentations and ability to judge when and who to communicate key information.
Able to maintain and extend structured networks both within region and between regions.
Critical Success Factors & Key Challenges.
Ability to influence and change current ways of working to develop a more scientific approach in the way we design experiments and interpret results.
A passion and enthusiasm for statistics in terms of converting data into useful information to drive business value.
Team working in multi-functional groups, both within SPR and externally.
Critical leadership capabilities.
SET DIRECTION.
Communicate Effectively: expresses ideas fluently and eloquently.
DRIVE RESULTS.
Achieve Goals: aligns organizational resources to accomplish key objectives.
Inspire Commitment: rallies support throughout the organisation to get things done.
LIBERATE POTENTIAL.
Leverage Diversity: works well with people who differ in race, gender, culture or age.
Develops others: Brings out the best in people.
CREATE EDGE.
Focus Energy: is determined, committed to success.

ADDITIONAL INFORMATION

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, colour, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status..