At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s IT & Digital team is seeking a Engineering Lead - Data & Analytics in Pune. This role will support the delivery for leading data and engineering teams within our Data Mesh platform, oversee product delivery, and spearhead the modernization of our AI, BI, and agentic analytics solutions.
Accountabilities:
The role will be responsible for leading the data and engineering teams on our Data Mesh platform & product delivery as well as driving the modernization and future of AI/BI and agentic analytics solutions. They will provide knowledge, experience and hands on expertise on efficient data and engineering practices, use of Serverless Technologies, Containers (Docker/Vagrant), Databricks, Automated Deployment Tools, Testing Tools GitHub and AWS. This includes recruitment, contracting, evaluation and mentoring the team.
Required Qualifications:
Career experience in envisioning and leading high impact change projects
Demonstrated ability to lead and catalyze organizational change
Explicit and extensive agile delivery experience
Experience in managing innovation and lean based projects for major corporations
Skilled in successfully operating in a dynamic & fast-paced technology environment.
A tactical thinker with strong skills in effectively prioritizing & organizing thematic work in detail in order to align vision & execution.
Ideally experienced in a similar role in the industrial sector.
Strong team management and people communication (written and verbal) skills in English
Desired Qualifications:
Technology Leader / Engineer working with leadership level business members and teams
Proven expertise in managing, mentoring & developing cross-functional teams data and engineering teams.
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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