Senior Data Product Manager – Agriculture Data Platform

DTN; Minneota (MN); Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Flexible working hours

Remote work model (position dependent)

Medical, Dental and Vision Insurance

13k+ courses via learning platform

Employee Assistance Program (EAP)

Job summary

DTN is transforming agriculture through data, intelligence, and technology to help agribusinesses make better commercial and operational decisions. We seek a Senior Data Product Manager, Agriculture to lead foundational data products powering our agriculture portfolio and enable reuse across products, analytics, APIs, and AI experiences.

This senior individual contributor role offers significant autonomy, collaborating with data engineers, architects, data science, and executives to define

Qualifications

• 6+ years of Product Management experience, including ownership of complex data, platform, or B2B SaaS products
• 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
• Understanding of the 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
• Experience in agriculture, ag-tech, data platforms, market intelligence, geospatial technology, or another data-intensive industry
• Familiarity with agricultural data, including farm and field data, crop production, weather, markets, agronomy, or agricultural supply chains
• Experience building data products that support analytics, predictive models, machine learning, or AI
• Experience with geospatial data, predictive analytics, or AI-ready data infrastructure

Responsibilities

• 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 people and AI systems

Skills

Product Management

Data platforms

APIs

Data governance

Stakeholder management

Cross-functional collaboration

Communication

Tools

Data pipelines

ETL/ELT

Cloud platforms

Geospatial data

APIs

Job description

DTN is transforming agriculture through data, intelligence, and technology to help agribusinesses make better commercial and operational decisions. We seek a Senior Data Product Manager, Agriculture to lead foundational data products powering our agriculture portfolio and enable reuse across products, analytics, APIs, and AI experiences.

This senior individual contributor role offers significant autonomy, collaborating with data engineers, architects, data science, and executives to define