Head Corporate Data & Analytics

Location: Manchester, United Kingdom; the position is also stated as being based in Pune, India.

Company

Syngenta is a global agricultural technology company developing seeds and crop protection solutions for farmers and food-system resilience.

What you will do

• Lead the strategy, roadmap, operating model and daily performance of the Corporate Function Enterprise Data Hub within the Databricks Data Mesh.
• Own the lifecycle of trusted, secure, reusable and governed corporate data products.
• Deliver analytics, machine-learning and AI solutions from use-case definition through adoption and value realisation.
• Lead the migration, rationalisation and retirement of legacy data products into the enterprise data mesh.
• Build, coach and manage a multidisciplinary team of data analysts, data engineers, ML engineers and AI engineers.
• Partner with Corporate Functions, GSS and IT Business Partnering to prioritise demand, manage trade-offs and communicate delivery performance and value.

Requirements

• Bachelor’s degree or equivalent experience in computer science, data science, engineering, information systems, mathematics or a related discipline.
• Deep knowledge of data architecture, data engineering, analytics, data-product management, cloud platforms and ML/AI solution lifecycles.
• Working knowledge of Databricks, modern data mesh concepts, data governance, metadata, data quality, security and privacy controls, and responsible-AI principles.
• Strong commercial and business acumen with the ability to explain complex technical matters to senior non-technical stakeholders.
• Professional fluency in English is required.
• Typically 10+ years of relevant experience in data, analytics, data engineering, AI/ML, digital product delivery or technology leadership, including multidisciplinary team leadership.

Nice to have

• Experience delivering enterprise-scale data products and analytics on modern cloud data platforms, preferably Databricks and a data mesh.
• Experience shaping business demand into data-product roadmaps and delivering measurable value with senior stakeholders.
• Experience modernising legacy data and analytics estates, including migration planning, governance, security and operational resilience.
• Experience in global Corporate Functions, shared services, IT business partnering, or regulated and privacy-sensitive data domains.

Culture & Benefits

• Work within a global agricultural technology organisation operating across 90 countries.
• Collaborate with teams across Corporate Functions, shared services and IT Business Partnering.
• Contribute to innovation, ethical practices, data governance and responsible AI.
• Equal opportunity employment and an inclusive working environment.