Dairy Field Data Lead

Cmsa Ascv; Madison (WI); Hybrid; USD 68,000 - 83,000; Full time

Benefits offered by this job

Competitive salary

Merit pay / annual performance bonus

Extended health and dental care

Defined Contribution Pension Plan with

Paid time off

Job summary

Semex is seeking a Field Data Coordinator to join the Research and Innovation team. You will manage field data across herds, drive data quality, and support operational decisions with descriptive statistics and dashboards.

The role is hybrid, based in Madison, WI, or Guelph, Ontario. Starting salary is $75,000 USD per year, with potential increases based on experience; regular travel across the United States and Canada is required.

Qualifications

• Diploma or degree in animal science, agriculture, dairy science, agribusiness, data analytics, data management, or a related field.
• Strong organizational and follow-through skills, with the ability to coordinate multiple herds, contacts, activities, and timelines.
• Strong understanding of field data, with the ability to analyze and interpret results using farm records, spreadsheets, databases, reporting systems, and data-quality processes.
• Excellent communication and relationship-building skills, with confidence working with producers, field contacts, and internal and external stakeholders.
• Practical and proactive problem-solver who can identify issues, coordinate solutions, and elevate risks when needed.
• Detail-oriented, dependable, collaborative, and adaptable, with sound judgment when handling confidential operational and herd data.
• Strong understanding of field data and the ability to analyze and interpret it.
• Practical knowledge of farm and reproductive records, data management, and partner-herd coordination.
• Knowledge of dairy reproduction, fertility management, and herd-recording systems.
• Experience working with dairy producers, agricultural field operations, commercial breeding programs, or industry data providers.
• Experience with Excel, Power BI, cloud-based data environments, dashboards, databases, or data-quality reporting.
• Experience with large or complex datasets. Familiarity with SQL, R, Python, or other analytical tools is an asset but is not required.

Responsibilities

• Develop and maintain relationships with partner herds that align with Semex field data priorities and identify opportunities to expand data coverage.
• Coordinate herd recruitment, onboarding, participation, timelines, and follow-up with producers, field teams, and data providers.
• Monitor incoming field and reproductive data for quality, continuity, and timeliness.
• Identify missing, delayed, or inconsistent records and coordinate practical resolution with herd, field, and technical contacts.
• Maintain herd records, contact history, participation status, data-source information, breeding volumes, quality indicators, targets, and outstanding actions.
• Develop and maintain an annual field data acquisition plan that identifies data gaps, priority herds, new data opportunities, expected outcomes, and required actions.
• Support the addition of new herds, herd-management platforms, and data sources.
• Analyze field data, identify trends, gaps, and emerging issues, and translate findings into clear, practical insights for internal teams and field partners.
• Support cloud-based tracking, reporting, and dashboard tools that provide access to descriptive statistics and key data metrics.
• Lead practical improvements to herd engagement, data collection, data flow, analysis, and reporting processes.

Skills

Organizational skills

Follow-through

Communication

Relationship-building

Data analysis

Excel

Power BI

SQL/R/Python basics

Education

Diploma or degree in animal science, agriculture, dairy science, agribusiness, data analytics, data management, or related field

Tools

Excel

Power BI

Cloud-based data environments

Dashboards

Databases

Job description

Semex is seeking a Field Data Coordinator to join the Research and Innovation team. You will manage field data across herds, drive data quality, and support operational decisions with descriptive statistics and dashboards.

The role is hybrid, based in Madison, WI, or Guelph, Ontario. Starting salary is $75,000 USD per year, with potential increases based on experience; regular travel across the United States and Canada is required.