Manager, Data Science, Engineering & Reporting — Crop Protection
Corteva Agriscience · Indianapolis, IN
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Jul 1, 2026
Indianapolis, IN
Jul 21, 2026
What this job asks for AI summary
A leadership role managing a multidisciplinary team of data scientists, data engineers, and BI developers supporting crop protection commercial operations in North America. Day-to-day work spans demand forecasting, segmentation, Power BI reporting, and cloud data pipeline development on Azure, while also steering the team through a corporate separation. Suits an experienced data leader comfortable operating as both a strategic director and a hands-on technical contributor.
Senior level · 8+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $178,991 (middle half $141,096–$225,584).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location is specified in the posting. Corteva is headquartered in Indianapolis, IN, but the JD gives no city, state, or remote designation — location fields left blank accordingly.
This is a people-management role (leading a multidisciplinary team across data science, data engineering, and BI/reporting, with explicit hiring/coaching accountability), making 11-3021 the primary SOC. However, the 'coach/player' framing and hands-on technical requirements create genuine ambiguity with 15-2051 (Data Scientists), noted as the alt code.
The 8+ years and 2+ years of team leadership are both framed as 'preferred' in the JD's Experience section, which is unusual for a management role. Total years minimum is set to 8 as the practical floor given the scope described.
A Bachelor's degree is listed as required, but the JD explicitly accepts 'equivalent' fields and frames the Master's as preferred — treated as no hard degree gate per extraction rules.
Azure is listed as 'preferred' within the cloud technologies requirement ('Azure preferred'), but the broader requirement for hands-on cloud big-data experience including Databricks and Azure Data Factory is stated as a hard gate; Azure is retained as required with alternatives noted.
PySpark is listed alongside SQL and Python but with softer language ('familiarity with') — marked preferred.
CI/CD and MLOps appear under Technical Skills and Preferred Qualifications respectively — CI/CD is in the main Technical Skills block but framed as conceptual understanding ('DataOps and CI/CD concepts'); MLOps is explicitly under Preferred Qualifications.
DAX is called out explicitly under the Power BI requirement in the Technical Skills section as a hard gate alongside Power BI itself.
Read the full posting
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