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 workflows. In 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.

**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.

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.