Senior Data Product Manager, Agriculture & AI

DTN; Nebraska; Remote; USD 115,000 - 149,000; Full time

Benefits offered by this job

Competitive Salary

Unlimited PTO

Flexible working hours

Remote work model

Medical, Dental and Vision Insurance

6% 401K matching

Learning platform access (13k+ courses

Employee Assistance Program (EAP)

Job summary

DTN is seeking a Senior Data Product Manager to own the foundational agricultural data products and set governance, structure, and delivery for reuse across customer-facing products, analytics, APIs, and AI experiences.

You will shape the data foundation enabling generative AI, predictive models, and intelligent applications, while collaborating with Product, Data Engineering, Architecture, DS, and Commercial leadership to maximize business value.

Qualifications

• 6+ years in product management for data/platform or B2B SaaS.
• Experience leading data-intensive products (pipelines, APIs, analytics).
• Strong business judgment and decision-making in complex environments.

Responsibilities

• Own strategy, roadmap, and investment priorities for agricultural data products.
• Translate data needs into scalable platform capabilities.
• Collaborate with Data Engineering, Architecture, Data Science, and Product teams.
• Define data quality, governance, and accessibility requirements.
• Drive data initiatives from discovery to adoption and improvement.
• Define success metrics for data quality, adoption, and value.

Skills

Product Management

Data products

B2B SaaS

Strategic thinking

Stakeholder management

Cross-functional leadership

Data governance

APIs

Data pipelines

Effective communication

Job description

DTN is seeking a Senior Data Product Manager to own the foundational agricultural data products and set governance, structure, and delivery for reuse across customer-facing products, analytics, APIs, and AI experiences.

You will shape the data foundation enabling generative AI, predictive models, and intelligent applications, while collaborating with Product, Data Engineering, Architecture, DS, and Commercial leadership to maximize business value.