> Markdown version of [/jobs/ext/1547264-manager-data-science-engineering-reporting-crop-protection](https://www.wearedevelopers.com/jobs/ext/1547264-manager-data-science-engineering-reporting-crop-protection). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Science, Engineering & Reporting - Crop Protection - **Company:** Corteva - **Location:** Indianapolis, IN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Python (Programming Language), Machine Learning, Operational Databases, Power BI, DataOps, SQL Databases, Azure Data Factory, Generative AI, Pyspark, Information Technology, Data Analytics, Machine Learning Operations, Databricks - **Published:** July 3, 2026 - **Apply:** https://dejobs.org/x/x/9E7A0CEC1F7E4552962EB9AD54868625/job/ ## About the Role * Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Information Systems, or a related field (Master's preferred)., * 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., * 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. ## Description 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., * 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)