Head of Corporate Data & Analytics

• Bachelor’s degree or equivalent experience in computer science, data science, engineering, information systems, mathematics or a related discipline; advanced degree is advantageous.
• Deep knowledge of data architecture, data engineering, analytics, data-product management, cloud platforms and the lifecycle of ML and AI solutions.
• Working knowledge of Databricks, modern data mesh concepts, data governance, metadata, data quality, security/privacy controls and responsible-AI principles.
• Strong commercial and business acumen, with the ability to communicate complex technical matters clearly to senior non-technical stakeholders.
• Professional fluency in English.

• Significant relevant experience (typically 10+ years) in data, analytics, data engineering, AI/ML, digital product delivery or technology leadership, including leadership of multidisciplinary teams.
• Demonstrated experience delivering enterprise-scale data products and analytical solutions on modern cloud data platforms, preferably Databricks and a data mesh or equivalent decentralised data-product model.
• Proven experience shaping business demand into data-product roadmaps, leading prioritisation and delivering measurable value with senior business stakeholders.
• Experience modernising legacy data and analytics estates, including migration planning, data quality, governance, security and operational resilience.
• Experience working across global Corporate Functions, shared services and IT business partnering environments; experience with regulated, privacy-sensitive or complex data domains is strongly preferred.

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 Enterprise Application Team is seeking a Head Corporate Data & Analytics in Pune.

Own and lead the Corporate Function Enterprise Data Hub within the Databricks Data Mesh, enabling trusted, reusable and governed data products for Corporate Functions. Deliver measurable business value through data products, analytics, machine-learning and AI solutions, while leading the migration of legacy data products into the enterprise data mesh. Build and lead a high-performing multidisciplinary data team and partner closely with Corporate Functions, GSS and IT Business Partnering to translate priorities into scalable outcomes.

• Lead the strategy, roadmap, operating model and day-to-day performance of the Corporate Function Enterprise Data Hub, aligned to Enterprise Data Mesh architecture, governance and platform standards.
• Own the end-to-end delivery and lifecycle management of Corporate Function data products, ensuring they are discoverable, reliable, secure, reusable and fit for business consumption.
• Lead the delivery of analytics, machine-learning and AI solutions that address priority Corporate Function outcomes, from use-case shaping through adoption and value realisation.
• Drive the structured migration, rationalisation and retirement of legacy data products into the Databricks Data Mesh, balancing business continuity, risk and technical debt reduction.
• Build, coach and lead a multidisciplinary team of data analysts, data engineers, ML engineers and AI engineers; establish clear accountabilities, capability development and delivery discipline.
• Partner with Corporate Function leadership, GSS and IT Business Partnering to prioritise demand, define product value, manage trade-offs and secure adoption of delivered capabilities.
• Ensure data products and AI/ML solutions comply with enterprise data governance, security, privacy, quality, risk and responsible-AI requirements.
• Manage the data hub’s capacity, supplier engagement and investment within agreed governance, and communicate delivery performance, risks, dependencies and realised value to senior stakeholders.