Head of Data and AI Technologies - R&D IT at Syngenta Group

Bracknell, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data strategy, AI strategy, Team leadership, Stakeholder management, Digital science, Scientific computing, Ethical AI governance, Technology partnerships, Strategic planning, Change management, Cross-functional leadership, Data architecture, Agricultural technology, R&D management

Industry

Farming

Description

Company Description About Syngenta At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all. Job Description At Syngenta, we harness data and AI to transform crop protection discovery and development. We're seeking a Head of Data and AI Technologies to lead our data and AI tools and technology strategy across Crop Protection Research & Development — shaping the technology that accelerates agricultural innovation globally. Accountabilities: Lead and develop multiple data and AI teams, evolving CP R&D's digital science capabilities and blurring the boundary between science and technology Drive data and AI investment priorities aligned with strategic must-wins, ensuring maximum business impact Ensure reliable, high-quality digital capabilities underpinned by scalable architecture aligned with enterprise standards Engage with external academic and industrial partners to explore and shape emerging technology collaborations Act as ambassador for Syngenta's data and AI efforts internally and externally Qualifications Required Qualifications: Proven track record building and leading high-performing data, AI, or analytics teams in complex global organisations Demonstrated ability to develop technology strategy aligned to business priorities and drive enterprise-wide adoption Extensive senior stakeholder management experience across multiple functions and geographies Confident decision-making in ambiguous, fast-moving technology environments Genuine passion for sustainable agriculture and science-based innovation Ideally a post-graduate degree in a digital science or related field Desired Qualifications: Experience in R&D or scientific computing environments Background in ethical AI governance frameworks Track record of academic or industrial technology partnerships Additional Information Jealott's Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff. Jealott’s Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range. What We Offer A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance. Up to 31.5 days annual holiday plus 8 UK bank holidays. 36-hour working week. 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.

Responsibilities

Lead and develop multiple data and AI teams to evolve digital science capabilities within Crop Protection R&D. Drive technology investment priorities and foster collaborations with academic and industrial partners to accelerate agricultural innovation.