Senior Data Product Manager, Agriculture

DTN; Minneota (MN); À distance; USD 130 000 - 180 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Remote work model (position dependent)

Medical, Dental and Vision Insurance

13k+ courses via learning platform

Employee Assistance Program (EAP)

Résumé du poste

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

Responsabilités

• 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

Connaissances

Product Management

Data platforms

APIs

Data governance

Stakeholder management

Cross-functional collaboration

Communication

Outils

Data pipelines

ETL/ELT

Cloud platforms

Geospatial data

APIs

Description du poste

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. 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.

J ob Description:

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 people and AI systems

Qualifications

• 6+ years of Product Management experience, including ownership of complex data, platform, or B2B SaaS products
• 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
• 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

Benefits

• Flexible working hours
• Remote work model (position dependent)
• Competitive Medical, Dental and Vision Insurance Plans
• Unlimited access to 13k+ courses via learning platform to support employee career advancement
• Employee Assistance Program (EAP)

DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. LI-REMOTE

#DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.

Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.

We help customers lead through change with smarter decisioning.

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If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at to verify the legitimacy of any communication.

We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.