R&D Portfolio Intelligence & Analytics Lead

Syngentagroup; Durham (NC); On-site; USD 106,000 - 198,000; Full time

Benefits offered by this job

Flexible work options

Medical/Dental/Vision benefits

401k with company match

Paid vacation/holidays

Parental leave

Education assistance

Job summary

Syngenta seeks a Portfolio Intelligence & Analytics Lead to bolster analytics and decision support across Seeds R&D portfolio. You will merge portfolio strategy, financial/operational analysis, and advanced analytics to turn complex data into actionable recommendations.

You will partner with Finance, Strategy, Digital, and R&D, shaping investment prioritization, trade-offs, and portfolio governance, while building scalable, automated solutions and AI-enabled insights.

Qualifications

• 5+ years of experience in portfolio analytics, strategy, finance, decision science, or related field.
• Experience developing executive-level analyses, reports, dashboards, and decision-support materials.
• Strong analytical and problem-solving capabilities, including scenario modelling, resource planning, and data analysis.
• Practical coding experience in Python or R; experience developing Shiny apps or interactive analytics tools is valued.
• Experience building automated reporting, data visualizations, forecasting models, or scalable analytics solutions.
• Knowledge of portfolio-management processes and tools; ability to connect data to business outcomes.

Responsibilities

• Lead development of portfolio intelligence frameworks, methodologies, and decision-support tools for portfolio governance and investment decisions.
• Analyze portfolio value, performance, productivity, scenarios, trade-offs, resource allocation, risks, and opportunities.
• Build and enhance analytics, models, dashboards, and reports to help stakeholders understand portfolio performance.
• Develop predictive analytics, forecasting capabilities, and AI-enabled insights to improve planning and decision quality.
• Strengthen the portfolio intelligence platform strategy, governance, and data quality standards.
• Partner with Finance, Strategy, Digital, and R&D to translate business questions into analytical products.

Skills

Portfolio analytics

Scenario modelling

Resource planning

Data analysis

Python

R

Shiny

Education

Advanced degree in Statistics/Data Science/Agricultural Sciences

Tools

Python

R

Shiny

Job description

At Syngenta, we are advancing agricultural innovation through data-driven portfolio decisions. We are seeking a Portfolio Intelligence & Analytics Lead to strengthen the insights, analytics, and decision-support capabilities that guide our Seeds R&D portfolio.

This role will serve as the analytical engine behind portfolio decisions-combining portfolio strategy, financial and operational analysis, advanced analytics, and technical solution development. You will work across R&D, Finance, Strategy, Digital, and other partners to turn complex portfolio data into clear, actionable recommendations.

In this role, you will help shape how Seeds R&D prioritizes investments, manages trade-offs, and brings innovation forward-using robust analytics and well-designed technical solutions to make portfolio intelligence more timely, transparent, and actionable.

Accountabilities:

• Lead development of portfolio intelligence frameworks, methodologies, and decision-support tools that enable portfolio governance and investment decisions.
• Analyze portfolio value, performance, productivity, scenarios, trade-offs, resource allocation, risks, and investment opportunities.
• Build and enhance analytics, models, dashboards, and reports that help stakeholders understand portfolio performance and make informed decisions.
• Use coding and analytics tools such as Python, R, and Shiny to develop new analyses, automate recurring reporting, and create scalable, interactive solutions.
• Develop predictive analytics, forecasting capabilities, and AI-enabled insights to improve portfolio planning and decision quality.
• Strengthen the portfolio intelligence platform strategy, capability roadmap, and governance processes.
• Ensure high standards for data quality, stewardship, traceability, and consistency across portfolio insights.
• Partner with Finance, Strategy, Digital, and R&D stakeholders to translate business questions into practical analytical products and actionable recommendations.
• Support adoption of portfolio intelligence capabilities through stakeholder engagement, training, documentation, and continuous improvement.

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This includes, but is not limited to, OPT, CPT, and H-1B visa holders.

Required Qualifications:

• 5+ years of experience in portfolio analytics, strategy, finance, decision science, business intelligence, or a related field.
• Experience developing executive-level analyses, reports, dashboards, and decision-support materials.
• Strong analytical and problem-solving capabilities, including scenario modelling, resource planning, and data analysis.
• Practical coding experience in Python or R; experience developing Shiny applications or other interactive analytical tools is highly valued.
• Experience building automated reporting, data visualizations, forecasting models, or scalable analytics solutions.
• Knowledge of portfolio-management processes and tools, including project, program, or portfolio management platforms.
• Ability to understand business processes, data structures, governance requirements, and technology platforms-and connect them to meaningful business outcomes.
• Strong communication and stakeholder-management skills, with the ability to explain complex analysis clearly to technical and non-technical audiences.

Preferred Qualifications:

• Advanced degree in Statistics, Agronomy, Data Science, Agricultural Sciences, or a related discipline.
• Experience with agricultural pipeline-management systems, agricultural economics, or commercial analytics.
• Experience with cloud-based analytics platforms, automation tools, and AI/ML-enabled analytical approaches.
• Familiarity with competitive intelligence, market analysis, or the agriculture sector.

What We Offer:

• A culture that celebrates belonging & collaboration, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.
• Syngenta has been ranked as a top employer by Science Journal.

Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Salary range for this role is $106,400 - $197,600 annually