R&D Portfolio Intelligence & Analytics Lead

SmartRecruiters, Inc.

Durham (NC)

On-site

USD 106,000 - 198,000

Full time

37 hours ago
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Benefits offered by this job

Flexible work options
Full Benefit Package (Medical, Dental,
401k with company match
Paid Vacation & Holidays

Job summary

Syngenta Seeds Field Crops in the United States is seeking an R&D Portfolio Intelligence & Analytics Lead to shape investment decisions across Seeds R&D. You will blend portfolio strategy, financial and operational analytics, and technical solutions to turn complex data into clear recommendations.

You will partner with Finance, Strategy, Digital, and R&D teams to develop predictive analytics, dashboards, and scalable tools that improve planning, governance, and transparency.

Qualifications

  • 5+ years in portfolio analytics, strategy, finance, or BI.
  • Experience delivering executive analyses, dashboards, and decision-support.
  • Coding in Python or R; Shiny apps experience valued.
  • Understanding portfolio-management processes and governance.

Responsibilities

  • Lead portfolio intelligence frameworks, methodologies, and decision-support tools.
  • Analyze portfolio value, performance, productivity, scenarios, trade-offs, and risks.
  • Build analytics, models, dashboards, and reports for stakeholders.
  • Use coding and analytics tools to develop analyses, automate reporting, and create scalable solutions.
  • Develop predictive analytics and AI-enabled insights to improve planning.
  • Strengthen platform strategy, roadmap, and governance for portfolio intelligence.
  • Ensure data quality, stewardship, traceability, and consistency.
  • Collaborate with Finance, Strategy, Digital, and R&D to translate questions into products.
  • Support adoption through training and documentation.

Skills

Portfolio analytics
Executive reporting
Data analysis
Python
R
Shiny apps
Forecasting
Stakeholder management
Communication

Education

Advanced degree in Statistics/Data Science/Agricultural Sciences

Tools

Shiny (R)
BI dashboards

Job description

R&D Portfolio Intelligence & Analytics Lead
  • Full-time

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices

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 asPython, R, and Shinyto 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 inPython or R; experience developingShiny applicationsor 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 ourmission 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

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