Lead Product Manager – R&D Decision Intelligence & Digital Analytics

We are looking for a strategic and experienced Lead Product Manager to lead a portfolio of digital products that strengthen how R&D teams generate insights make decisions plan predict outcomes and optimize scientific this role you will own the product vision strategy roadmap delivery adoption and value realization for a Product-Oriented Delivery (POD) area within CP R&D IT. You will lead cross-functional teams to deliver scalable trusted and sustainable digital products that turn experimental and observational data into actionable insights predictive capabilities and decision-support solutions.

What you will do

• Define and drive the POD vision value hypotheses multi-horizon roadmap and product portfolio strategy.
• Lead prioritization and investment decisions across products and capabilities balancing value scope cost time risk and capacity.
• Deliver digital products that enable analytics insights forecasting scenario planning resource and capacity planning optimization and AI-enabled decision support.
• Partner with R&D business data technology security architecture and governance stakeholders to translate needs into measurable product outcomes.
• Establish and track OKRs/KPIs related to adoption user outcomes decision quality cycle-time reduction operational performance reliability and total cost of ownership.
• Lead product delivery practices including backlog management prioritization cadences dependency management release governance and outcome-oriented increments.
• Drive adoption and change management through stakeholder engagement communications enablement and continuous feedback.
• Ensure products are scalable reusable interoperable secure and aligned with enterprise architecture data governance and quality standards.
• Manage POD-level risks dependencies vendors and partners where applicable.
• Coach and develop Product Managers within the POD.
• Establish and maintain executive visibility through regular reporting on product performance strategic initiatives budget utilization and key business metrics to senior leadership.
• Conduct competitive analysis and market intelligence to identify emerging trends opportunities and threats in decision intelligence and analytics solutions relevant to R&D operations.
• Define and implement continuous improvement processes that integrate user feedback performance data and stakeholder input into iterative product enhancements and refinements.
• Oversee budget allocation resource planning and financial performance management for the POD to ensure optimal return on investment and cost efficiency.

Qualifications :

**What You Bring**

• Proven experience leading product-centric teams and delivering measurable outcomes through Agile/Lean product practices.
• Strong product strategy capabilities including vision setting roadmapping portfolio management prioritization and value measurement.
• Experience with analytics predictive modeling decision intelligence planning forecasting optimization or AI-enabled digital products.
• Understanding of AI/ML and agentic AI concepts including human-in-the-loop decision-making explainability traceability evaluation monitoring and governance.
• Familiarity with scientific data model lifecycle management data provenance reproducibility metadata cataloging and data governance principles.
• Ability to translate complex R&D or business needs into clear product strategies measurable outcomes and scalable solutions.
• Strong stakeholder leadership and the ability to influence without formal authority across business and technology functions.
• Experience navigating ambiguity making transparent trade-offs and driving decisions in complex enterprise environments.
• Strong understanding of solution architecture concepts and end-to-end product design integrity.
• Track record of successful product launches go-to-market strategies or scaling products in enterprise environments.
• Experience with customer discovery user research methodologies and translating user feedback into product requirements.
• Familiarity with regulatory compliance and governance frameworks relevant to AI/ML and data-driven products.
• A university degree in IT Engineering Computer Science Science or a related field; equivalent experience will also be considered.

**What Will Make You Successful**

• You are collaborative curious and value-oriented. You can connect business outcomes with technology opportunities communicate a compelling product vision and create alignment across diverse stakeholders.
• You are comfortable operating in a fast-paced environment managing complexity and turning ambiguity into clear priorities and action.
• You demonstrate strong mentoring and team development capabilities with a track record of building high-performing product teams.
• You possess knowledge of enterprise software architecture integration patterns and technical infrastructure considerations relevant to scalable product solutions.

Additional Information :

Why Syngenta

Meaningful impact: help build technology that supports scientific innovation and sustainable agriculture.

Complex modern challenges: work on high-scale platforms and systems with room for technical judgement.

Collaborative environment: partner with global engineering R&D and product communities.

Growth: broaden your influence through challenging work visible outcomes and a global network.

Remote Work :

No

Employment Type :

Full-time