Digital Agriculture Analytics Lead
$81.6k - $108.9k per yearMcCain Foods
Position Title: Digital Agriculture Analytics LeadPosition Type: Regular - Full-TimeRequisition ID: 44883In 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.
About The Role.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.
What You’ll Be Doing.
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
What You’ll Need To Be Successful.
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
About The Team.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.
About McCain.Click here to learn more about McCain and how we provide you with opportunities to make an impact that matters.
Leadership principles.At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results.
The McCain Experience.We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you'll find opportunities to learn, grow, and thrive. Join us and experience why we're better together.
Our purpose is grounded in building meaningful relationships. We're big believers in the power of working together in person—it helps us stay connected, collaborate more effectively, and grow as a team. At the same time, we recognize the importance of flexibility. Most office-based roles follow a hybrid model, with the option to work remotely two days a week. There may be exceptions depending on the role and location, so we encourage you to speak with your recruiter for more details.
Compensation Package : $81,600.00 - $108,900.00. CAD annually + Bonus Eligibility
The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs. This posting is for an existing vacancy.
Benefits:
health coverage (medical, dental, vision, prescription drug)
retirement savings benefits
leave support including medical, family and bereavement
Well-being programs include vacation and holidays
company-supported volunteering time
mental health resources
Coverages are aligned with applicable law and can vary by work level, location and nature of the role. Additional benefit detail available during the application process.
Your well-being matters to us, and we're here to provide you with the necessary resources to support you in being your best self at work - and at home.
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), let us know, and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.
Job Family: AgricultureLocation(s): CA - Canada : Ontario : TorontoCompany: McCain Foods (Canada)#J-18808-Ljbffr
About The Role.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.
What You’ll Be Doing.
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
What You’ll Need To Be Successful.
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
About The Team.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.
About McCain.Click here to learn more about McCain and how we provide you with opportunities to make an impact that matters.
Leadership principles.At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results.
The McCain Experience.We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you'll find opportunities to learn, grow, and thrive. Join us and experience why we're better together.
Our purpose is grounded in building meaningful relationships. We're big believers in the power of working together in person—it helps us stay connected, collaborate more effectively, and grow as a team. At the same time, we recognize the importance of flexibility. Most office-based roles follow a hybrid model, with the option to work remotely two days a week. There may be exceptions depending on the role and location, so we encourage you to speak with your recruiter for more details.
Compensation Package : $81,600.00 - $108,900.00. CAD annually + Bonus Eligibility
The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs. This posting is for an existing vacancy.
Benefits:
health coverage (medical, dental, vision, prescription drug)
retirement savings benefits
leave support including medical, family and bereavement
Well-being programs include vacation and holidays
company-supported volunteering time
mental health resources
Coverages are aligned with applicable law and can vary by work level, location and nature of the role. Additional benefit detail available during the application process.
Your well-being matters to us, and we're here to provide you with the necessary resources to support you in being your best self at work - and at home.
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), let us know, and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.
Job Family: AgricultureLocation(s): CA - Canada : Ontario : TorontoCompany: McCain Foods (Canada)#J-18808-Ljbffr
Vacancy posted 1 hour ago
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