Senior Agriculture Data Platform Manager

DTN

Lincoln (NE)

Hybrid

USD 115,000 - 149,000

Full time

7 days ago

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Benefits offered by this job

Competitive Salary

Unlimited PTO

Flexible working hours

Remote work model (position dependent)

Competitive Medical, Dental and Vision

6% 401K matching

Learning platform access

Employee Assistance Program (EAP)

Job summary

DTN is seeking a Senior Data Product Manager for its Agriculture portfolio to define how agricultural data is structured, governed, and delivered across products, analytics, APIs, and AI experiences—including the data foundations required for generative AI, predictive models, and intelligent applications.

This is a senior-level, autonomous role with influence across Product, Data Engineering, Architecture, Data Science, and leadership stakeholders.

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 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 with Data Engineering, Architecture, and Data Science teams.
Ability to translate complex technical concepts for both technical and non-technical audiences.
Understanding of data requirements for ML/AI applications, including data quality, metadata, governance, and reliable access.
Excellent communication and stakeholder management 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.

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, ML, 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, understood, and used by both people and AI systems.