MET data analytic lead
Location: Pune, MAHĀRĀSHTRA, in
Company Description
About Syngenta
At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.
Job Description
Reporting to the MET data & Innovation lead, the role is to develop a data analytics platform and manage people capabilities and talents to enable AI-driven and analytical requirement for engineering & manufacturing organization.
This role leads a team of data engineers and scientists in Pune and fully integrates with existing platform to drive synergies with P&S and DPI teams. She/He ensures quality delivery in time at full on analytical & AI products in line with customer needs. This role is key in shaping Artificial Intelligence & analytics strategy for manufacturing and engineering working in partnership with DPI, sites and engineering teams.
- Manage a team in Pune and coordinate with DPI, T&E, and operations to ensure analytical platform readiness and adoption.
- Support the strategic global seeq deployment working with T&E.
- Interface with T&E, PTAI, Data Science Teams, Manufacturing & Engineering, DPI Infrastructure & Platform Teams, Business Operations Leaders.
- Work closely with MET team and product owner in the operations to pilot and deploy analytical solutions.
- Act as an internal consultant on AI and analytical topics driving strategic direction.
Qualifications
- Minimum 8-10 years in managing team management in the context of digital
- Experience in agile delivery / devops
- Proven track record of developing analytical / AI solution ideally in manufacturing/industrial settings
- Experience managing cross-functional teams and coordinating across multiple stakeholders
- Demonstrated success in delivering measurable business impact through analytics initiatives (ROI, efficiency gains, predictive accuracy)
- Experience working with external research partnerships (e.g., academic institutions, technology vendors)
- Knowledge of manufacturing data systems (historians, MES, LIMS, SAP)
- Proficiency in analytics platforms (Seeq, Databricks, Azure/AWS analytics services)
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, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
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