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Added 12 mins ago
AI Architect
Agility IT
Toronto, ON
Full-time
Strong development and data engineering knowledge across Python, PySpark, SQL, Spark, and API Integrations
Added 43 mins ago
Digital Agriculture Analytics Lead
McCain Foods
Toronto, ON
Full-time
Experience using analytics and data tools such as SQL, Python (or similar), and business intelligence platforms (e.g., Power BI or equivalent)
Added 43 mins ago
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McCain Foods

Digital Agriculture Analytics Lead

Toronto, ON, Canada

Pay: Compensation Package: $81,600.00 - $108,900.00 .
Job type: Full-time
Apply by: Nov 1, 2026
Experience: 4–7+ years of experience delivering analytics or insights in agriculture, food, supply chain, manufacturing, or other data‑rich operational environments
Posting language: English
Posted: Oct 2, 2026

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Original job description

Position Title: Digital Agriculture Analytics Lead

Position Type: Regular - Full-Time

Requisition ID: 44883

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.

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: At McCain, we’re on a mission to create a winning culture that puts employee safety and well-being at the heart of what we do, every day. We understand and appreciate that each person’s needs are unique and ensure our benefits & well-being programs reflect that. Employees are eligible for the following benefits: health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well-being programs include vacation and holidays, company-supported volunteering time, and 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), please 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: Agriculture

Location(s): CA - Canada : Ontario : Toronto

Company: McCain Foods (Canada)

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More about this job

Responsibilities

Lead analytics and AI-enabled initiatives across North American agriculture, translating agronomic and operational challenges into actionable insights and measurable business value. Develop analytical products and standardized KPIs, improve data quality, and embed digital solutions into workflows while supporting adoption and change management.

Requirements

Requires a bachelor’s degree in a relevant field or equivalent practical experience, plus 4–7 or more years delivering analytics or insights in agriculture or another data-rich operational environment. Candidates should have hands-on experience with advanced analytics, SQL and Python or similar tools, business intelligence platforms, multiple data sources, and communicating insights to influence stakeholders.

Skills

Agricultural Analytics
Advanced Analytics
Artificial Intelligence
Forecasting
Predictive Modeling
Scenario Analysis
SQL
Python
Business Intelligence
Power BI
Data Standardization
Data Harmonization
KPI Development
Stakeholder Engagement
Change Management
Cross-Functional Collaboration

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Prescription Drug Coverage
Retirement Savings Benefits
Medical Leave
Family Leave
Bereavement Leave
Vacation
Holidays
Company-Supported Volunteering Time
Mental Health Resources

Visa sponsorship

Not detected in the job text

Keywords

Agriculture
Digital Agriculture
Agronomy
Farm-To-Fork Value Chain
Advanced Analytics
Artificial Intelligence
Forecasting
Predictive Analytics
Scenario Analysis
Decision-Support Tools
SQL
Python
Power BI
Business Intelligence
Data Sources
Data Standardization
Data Harmonization
Agriculture KPIs
Data-Driven Decision-Making
Digital Innovation
Supply Chain
Manufacturing
Storage
Sustainability
Operational Efficiency
Change Management
Stakeholder Engagement
Value Hypotheses
Success Metrics
Analytics Adoption

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