Lead Product Manager – R&D Decision Intelligence & Digital Analytics
Core
Lead a portfolio of digital products enabling R&D teams to generate insights, make decisions, plan, predict outcomes, and optimize scientific workflows using analytics and AI.
Role type
Senior Lead Product Manager (R&D Decision Intelligence & Digital Analytics)
Builds
Scalable digital products for analytics, forecasting, scenario planning, resource optimization, and AI-enabled decision support for R&D operations.
Domain
R&D operations, Decision Intelligence, Digital Analytics, AI/ML
Deliverable
production ML models
Required skills
Product strategy & portfolio management, Agile/Lean product practices, Analytics & predictive modeling, AI/ML & agentic AI concepts, Scientific data & model lifecycle management, Stakeholder leadership, Solution architecture understanding, Product launch & scaling, User research methodologies, Regulatory & compliance frameworks
Preferred skills
Mentoring & team development, Enterprise software architecture knowledge, Navigating ambiguity in complex environments
Technologies
AI/ML frameworks, Agentic AI tools, Data governance platforms, Analytics engines (via careerplan.io/jobs/744000153450742-lead-product-manager-rd-decision-intelligence-digital-analytics-at-syngenta-group)
Responsibilities
Define and drive POD vision, value hypotheses, and multi-horizon roadmap; Lead prioritization and investment decisions across products; Deliver digital products enabling analytics, forecasting, and AI decision support; Partner with R&D, data, and technology stakeholders to translate needs into outcomes; Establish and track OKRs/KPIs for adoption and decision quality; Lead product delivery practices including backlog management and release governance; Drive adoption and change management; Ensure products are scalable, secure, and aligned with enterprise architecture; Manage POD-level risks, dependencies, and vendors; Coach and develop Product Managers within the POD; Establish executive visibility through reporting on product performance and budget; Conduct competitive analysis for decision intelligence trends; Define continuous improvement processes; Oversee budget allocation and financial performance management.
Seniority
Senior, hands-on IC with team leadership