Digital Agriculture Analytics Lead

In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.

McCain's North America Agriculture organization is transforming into a digitally enabled, data-and insight-driven operation that connects on-farm activities to downstream outcomes across storage, manufacturing, sustainability, and supply chain.

The Digital Agriculture Analytics Lead is a hands-on, business-focused individual contributor responsible for translating agricultural and operational challenges into actionable insights using advanced analytics and AI-enabled techniques. This role focuses on decision impact, adoption, and measurable business value
, not just reports or dashboards.

• Lead analytics, AI-enabled insights, and digital innovation initiatives across North America Agriculture to deliver measurable business value across the farm-to-fork value chain
• Partner with growers, field teams, manufacturing, storage, sustainability, and supply chain stakeholders to identify and prioritize high-value analytics use cases
• Translate agronomic and operational challenges into actionable insights using advanced analytics, forecasting, predictive techniques, and AI-enabled approaches
• Build and maintain analytical products such as models, forecasts, scenario analyses, dashboards, and decision-support tools
• Define, standardize, and track key agriculture KPIs to enable consistent performance monitoring across regions and teams
• Drive data standardization and harmonization in partnership with enterprise data and technology teams to enable scalable, trusted analytics
• Embed analytics and digital solutions into workflows, operating rhythms, and decision forums to ensure adoption and sustained impact
• Evaluate and pilot emerging analytics and digital technologies that improve performance, sustainability, and innovation
• Support change management, training, and stakeholder engagement, including defining value hypotheses and success metrics

• Bachelor's degree in a relevant field, or equivalent practical experience
• 4-7+ years of experience delivering analytics or insights in agriculture, food, supply chain, manufacturing, or other data-rich operational environments
• Proven ability to translate business or agronomic questions into analytical insights that drive decisions and measurable outcomes
• Hands-on experience building and applying advanced analytics solutions such as forecasting models, predictive insights, scenario analysis, or AI-enabled decision tools
• Experience using analytics and data tools such as SQL, Python (or similar), and business intelligence platforms (e.g., Power BI or equivalent)
• Experience working with multiple data sources and partnering across business and technical teams
• Strong business-first mindset with the ability to influence stakeholders and communicate insights clearly
• Curiosity and openness to using AI-enabled analytics where it adds value, without over-engineering solutions
• Willingness to travel up to 25% as required

This role sits within the North America Agriculture organization and reports to the Director of Ag Business Transformation
. The team focuses on driving digital, data, and analytics capabilities that improve agronomic performance, operational efficiency, sustainability, and supply-chain outcomes. The Digital Agriculture Analytics Lead works cross-functionally with agriculture, operations, supply chain, sustainability, and enterprise data and technology teams to embed analytics into day-to-day decision-making.

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