Senior Data Product Manager, Agriculture

For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact.

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose‑built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

DTN is transforming agriculture through data, intelligence, and technology that help agribusinesses make better commercial and operational decisions. Our products draw on proprietary and third‑party data spanning farms, crops, weather, markets, customers, and the agricultural supply chain.

We are seeking a Senior Data Product Manager, Agriculture to lead the foundational data products that power DTN’s agriculture portfolio. In this role, you will define how agricultural data is structured, governed, and delivered for reuse across customer‑facing products, analytics, APIs, and AI experiences—including the data foundations required for generative AI, predictive models, and intelligent applications.

This is a senior‑level individual contributor role with significant autonomy and influence across Product, Data Engineering, Architecture, Data Science, Commercial Leadership, and executive stakeholders. You will define the strategy and roadmap for foundational agricultural data products, enable teams to build differentiated experiences on trusted and scalable data, and unlock greater customer and commercial value from DTN’s proprietary and third‑party data.

• Own the strategy, roadmap, and investment priorities for agricultural data products, including pipelines, canonical data models, APIs, and shared data services
• Identify common data needs across DTN’s agriculture portfolio and translate them into scalable, reusable platform capabilities
• Prioritize investments based on customer value, commercial opportunity, data quality, technical feasibility, and long-term scalability
• Evaluate new datasets and capabilities for strategic fit, differentiation, commercialization potential, and their ability to enable analytics, machine learning, and AI use cases
• Partner with Data Engineering, Architecture, Data Science, and Product teams to translate customer and product needs into scalable data solutions
• Drive data initiatives from discovery and definition through delivery, adoption, and continuous improvement
• Define requirements for data quality, coverage, freshness, reliability, governance, and accessibility
• Drive alignment and resolve tradeoffs across complex data initiatives spanning multiple products, systems, and teams
• Define success metrics across data quality, reliability, adoption, operational efficiency, customer value, and commercial impact
• Use product performance, customer needs, and stakeholder feedback to continuously improve DTN’s data products
• Identify opportunities to expand how DTN’s agricultural data supports analytics, machine learning, predictive models, and AI
• Help establish the trusted data foundation required for DTN’s agricultural data to be reliably discovered, understood, and used by both…