Data Analytics Lead Jobs in Indianapolis, IN

As Corteva separates into two independent, publicly traded companies, Corteva is seeking a collaborative, hands-on leader to manage our Crop Protection data science, engineering, and reporting team within the North American Commercial Unit. In this role, you will lead a multidisciplinary team and work closely with marketing, sales, and finance partners to deliver forecasting, advanced analytics, reporting, and trusted data products that drive commercial decisions. You will set direction and develop talent while staying close to the work as a coach/player, ensuring continuity and high-quality delivery through the separation and beyond.

What You'll Do

• Team Leadership & Development: Lead, coach, and develop a multidisciplinary team across data science, data engineering, and reporting/BI; run agile cadences and hold the team accountable for high-quality, on-time delivery.
• Forecasting & Advanced Analytics: Direct the data science effort to advance crop protection demand forecasting, segmentation, and scenario simulations, improving accuracy and the business value delivered.
• Reporting & Business Intelligence: Own the reporting and Power BI portfolio, delivering trusted dashboards and self-service analytics and maintaining the authoritative source for commercial reporting.
• Data Engineering & Platform: Direct the engineering effort to build and maintain reliable, production-grade pipelines and governed data sets through modern DataOps practices.
• Separation & Continuity: Help execute the data and platform separation, ensuring uninterrupted delivery of forecasting, dashboards, and insights through the transition.
• Stakeholder Engagement: Partner with business leaders to understand requirements, frame the right problems, and deliver custom data solutions that create measurable value.
  

What You'll Need

Education:

• Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Information Systems, or a related field (Master's preferred).

Experience:

• 8+ years of relevant experience across data science, analytics, and/or data engineering, including 2+ years leading or managing a team are preferred.
• Demonstrated success delivering both production forecasting/analytics solutions and business-facing reporting with measurable impact.
• Strong proficiency with SQL and Python; familiarity with PySpark and production data pipelines.
• Hands-on experience with cloud big-data technologies (Azure preferred), including Databricks and Azure Data Factory.
• Experience working in an Agile environment, with knowledge of Agile methodologies and practices.
• Experience leading teams through organizational change or transition preferred.

Technical Skills:

• Working knowledge of forecasting and statistical/ML methods (time series, demand forecasting, segmentation) and modern GenAI applications.
• Hands-on proficiency with Power BI (data modeling, DAX, dashboard design and governance), able to set standards for reporting developers.
• Understanding of DataOps and CI/CD concepts for reliable, reproducible, and scalable data workflows.
• Systems thinker — able to set technical direction with awareness of the full data platform and downstream impacts.

Business & Communication Skills:

• Exceptional communication skills, with the ability to translate technical solutions into business value.
• Ability to take vague requirements and convert them into scalable, actionable data solutions.
• Strong problem-solving skills, business curiosity, and a results-driven mindset.
• Takes initiative and builds relationships with key stakeholders to establish confidence, trust, and credibility.
• Customer-focused and motivated by results, with the ability to proactively identify business needs and drive stakeholder satisfaction.

Preferred Qualifications

• Deep understanding of Azure's cloud architecture, services, and management tools.
• Knowledge of MLOps best practices, including deployment, monitoring, and maintenance of machine learning models.
• Experience leading forecasting, pricing, or customer-analytics initiatives in a commercial setting.
• Experience supporting data-driven business transformation and data governance initiatives.

Why Join Us?

At New Corteva, you'll lead the data team that powers commercial decision-making for a focused, industry-leading crop protection company. You'll build and develop a high-performing team, work with cutting-edge technologies, and deliver trustworthy, actionable data to the business — all while helping shape the data foundation of a newly independent company. You'll play a key role in operationalizing forecasting, analytics, and reporting at scale to help farmers solve their toughest challenges.

Ready to help us unlock the power of data? Apply now!

#LI-AB1

Benefits – How We’ll Support You:

• Numerous development opportunities offered to build your skills

• Be part of a company with a higher purpose and contribute to making the world a better place

• Health benefits for you and your family on your first day of employment

• Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays

• Excellent parental leave which includes a minimum of 16 weeks for mother and father

• Future planning with our competitive retirement savings plan and tuition reimbursement program

• 
  

• Check out life at Corteva! www.linkedin.com/company/corteva/life
  

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.