Senior Data Product Manager, Agriculture

🕒 October 1

🌾 Nebraska, Minnesota, +1 more states – Remote

🌾 Nebraska – Remote ❄️ Minnesota – Remote 🤠 Texas – Remote

💵 $115k - $149k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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• Open for 44 days.
• Jobs at this company usually fill in 43 days.

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DTN

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📦 Logistics

💼 Consulting

🏥 Healthcare

💰 Grant on 2014-09

Logistics • Consulting • Healthcare

DTN is a data and analytics company that provides operational intelligence to various industries, including agriculture, aviation, transportation, and utilities. They offer a range of products, including weather insights, market data, and analytical tools designed to improve decision-making and reduce risks for their clients. Their solutions, such as ClearAg® and WeatherOps®, leverage advanced technology and data analytics to help customers manage their operations effectively and adapt to changing environmental conditions.

📋 Description

• 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 support for 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 agricultural data supports analytics, machine learning, predictive models, and AI • Help establish the trusted data foundation required for agricultural data to be reliably discovered, understood, and used by people and AI systems

🎯 Requirements

• 6+ years of Product Management experience, including ownership of complex data, platform, or B2B SaaS products • Demonstrated experience leading products from strategy and discovery through delivery and ongoing optimization • Strong product judgment and business acumen • Ability to balance customer value, commercial opportunity, technical complexity, and long-term platform strategy • Experience managing data-intensive products involving data pipelines, APIs, integrations, analytics, or data platforms • Strong understanding of modern data architectures, including data lakes and warehouses, ETL/ELT pipelines, APIs, cloud infrastructure, data modeling, and governance • Experience partnering closely with Data Engineering, Architecture, and Data Science teams • Ability to make complex technical concepts understandable to both technical and non-technical audiences • Understanding of data requirements for machine learning and AI applications, including data quality, metadata, context, governance, and reliable access • Excellent communication and stakeholder management skills across technical, product, commercial, and executive audiences • Demonstrated ability to influence strategy and drive alignment without direct authority • Strong prioritization and execution skills across complex, cross-team initiatives • Experience in agriculture, ag-tech, data platforms, market intelligence, geospatial technology, or another data-intensive industry (standout qualification) • Familiarity with agricultural data, including farm and field data, crop production, weather, markets, agronomy, or agricultural supply chains (standout qualification) • Experience building data products supporting analytics, predictive models, machine learning, or AI (standout qualification) • Experience with geospatial data, predictive analytics, or AI-ready data infrastructure (standout qualification)

🏖️ Benefits

• Unlimited PTO • Flexible working hours • Remote work model (position dependent) • Competitive Medical, Dental and Vision Insurance Plans • 6% 401K matching • Unlimited access to 13k+ courses via learning platform to support employee career advancement • Employee Assistance Program (EAP) • Opportunity to advance compensation with performance over time • May be eligible for market competitive variable pay and benefits

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