Job description

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. 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. What You Will Be Responsible For 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 What You Will Bring to the Position 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, with the ability to make effective decisions in technically complex and ambiguous environments 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 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 Demonstrated ability to influence strategy and drive alignment without direct authority Strong prioritization and execution skills across complex, cross-team initiatives What Will Make You Stand Out 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 What You Can Expect from DTN Competitive Salary 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) Compensation The targeted hiring base pay range for this position is between $115,000 and $149,000 . 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. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits. #LI-REMOTE #LI-TH1 About DTN: 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. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world. At DTN, we value clarity, trust , and action . We’re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do. Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable. 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. Future-Forward: We see what’s coming- and we’re ready. We help customers lead through change with smarter decisioning. Recruitment Fraud Notice: DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official dtn.com email address. Any offers are extended directly by our Talent Acquisition team following a formal interview process. If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers dtn.com to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam. DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.

Requirements

Must-haves

What You Will Be Responsible For
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
What You Will Bring to the Position
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, with the ability to make effective decisions in technically complex and ambiguous environments
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 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

Nice-to-haves

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Keywords to mirror

aimachine learningaccessibility

Platform: workday
Effort: long

Benefits

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Dental

Vision

401k

Pto