Remote Senior Agriculture Data Product Manager

DTN; United States; À distance; USD 115 000 - 149 000; Plein temps

Avantages offerts par ce poste

Competitive Salary

Unlimited PTO

Flexible working hours

Remote work model (position dependent)

Competitive Medical, Dental and Vision

6% 401K matching

Access to 13k+ courses

Employee Assistance Program (EAP)

Résumé du poste

DTN seeks a Senior Data Product Manager, Agriculture to define how agricultural data is structured, governed, and delivered for reuse across customer-facing products, analytics, APIs, and AI experiences—including foundations for generative AI and predictive models.

This senior individual contributor role offers significant autonomy and influence across Product, Data Engineering, Architecture, Data Science, Commercial Leadership, and executives.

Qualifications

• 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 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 data requirements for ML/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

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, ML, predictive models, and AI
• Help establish the trusted data foundation required for DTN’s agricultural data to be reliably discovered and used by people and AI systems

Description du poste

DTN seeks a Senior Data Product Manager, Agriculture to define how agricultural data is structured, governed, and delivered for reuse across customer-facing products, analytics, APIs, and AI experiences—including foundations for generative AI and predictive models.

This senior individual contributor role offers significant autonomy and influence across Product, Data Engineering, Architecture, Data Science, Commercial Leadership, and executives.