Requisition ID: 35806 

Job Description:

OVERVIEW

McCain is on an exciting digital transformation journey. As part of this evolution, we're making bold investments in our data systems, infrastructure, and digital capabilities. We're building next-generation digital products for our customers, suppliers, and employees—enabling intelligent automation and data-driven decision-making at scale. Our Technology team is at the heart of this effort, driving innovation to fuel business growth.

If you're looking to help shape the future of a global organization and play a pivotal role in redefining how data and AI deliver impact—this is your opportunity. Join us as we continue building McCain's digital foundation and unlock new business value through cutting-edge data, AI, and analytics solutions.

JOB PURPOSE

We are hiring a Director of Advanced Data & Analytics to lead the development and execution of McCain's global data and AI strategy. In this role, you'll partner with senior business and technology stakeholders across regions to design and deliver advanced analytics and AI products within a global CPG environment.

You'll lead a large-scale engineering team (up to 50 people) and be responsible for building scalable software solutions using SAFe methodologies. Your team will leverage automation, Agentic AI, and best-in-class platforms like Databricks to drive outcomes including increased productivity, reduced waste, improved uptime, and optimized resource consumption.

This is a high-impact leadership role ideal for someone who thrives at the intersection of data science, product engineering, and global business transformation.

KEY RESPONSIBILITIES

Strategic Leadership
• Develop and execute the global data and AI engineering roadmap aligned to McCain's digital and business strategy.

Team Management
• Lead and grow a global team of engineers and contractors (up to 50), fostering a culture of innovation, agility, and delivery excellence.

Technical Delivery
• Oversee the development of AI-driven data products using real-time data (including IoT), AI models, and analytics platforms to improve performance and efficiency.
• Ensure seamless integration of in-house and third-party software with enterprise-grade data infrastructure, enabling robust and secure data pipelines.

Agentic AI & Automation
• Champion the adoption of Agentic AI, intelligent agents, and automation to streamline processes and drive scalable business impact.

Product Delivery
• Deliver high-quality, agile software releases using SAFe frameworks, with continuous improvement in product engineering practices.

Cross-Functional Collaboration
• Work closely with global and regional business leaders and technology partners to define use cases, prioritize initiatives, and ensure successful delivery of AI and analytics programs.

Data Governance & Security
• Partner with data governance and security teams to maintain compliance and high-quality standards across all platforms.

Emerging Technologies
• Stay ahead of the curve on new technologies in AI, ML, data engineering, and cloud platforms—and integrate them where they can create value.

KEY QUALIFICATIONS & EXPERIENCE

• Bachelor's degree in engineering, computer science, data science, or a related field; Master's or PhD preferred.
• 12+ years of experience in data engineering, AI/ML, and analytics, with a track record of delivering transformation in CPG, FMCG, or industrial sectors.
• 7+ years leading and scaling technical teams, including people leadership, coaching, and performance management.
• Proven experience delivering digital products in a SAFe Agile environment.
• Strong business acumen and stakeholder engagement skills—able to translate technical solutions into measurable business value.
• Experience working in a complex, global matrix organization.

TECHNICAL EXPERTISE:

Databricks (ML pipelines, Delta Lake, Unity Catalog)
Azure Data Services (Data Factory, Data Lake, Synapse)
Azure AI Foundry (model dev, deployment, monitoring)
Agentic AI platforms, automation, and workflow orchestration
Event-driven and microservices architectures
Generative AI, LLMs, and NLP techniques

PREFERRED EXPERIENCE:

• IoT and edge computing
• MLOps, statistical modeling, and predictive analytics
• Data governance and compliance in a global enterprise
• CI/CD, cloud-native DevOps, infrastructure-as-code
• Smart factory concepts and process automation
• Geospatial data (Google Earth Engine, satellite imagery, remote sensing)

Certifications in Azure, Databricks, or SAFe Agile are a strong asset.
 

Ready to build the future of data and AI at McCain?
Apply now and bring your vision to life in a company that's growing, transforming, and leading with purpose.

Compensation Package: $111,700.00 - $149,000.00 CAD annually + bonus eligibility + Long Term Incentive 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/training, and other organizational needs.