Director of Advanced Analytics-MDIxAI - #380977

McCain Foods


Date: 4 weeks ago
City: Toronto, ON
Contract type: Full time

28969

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OVERVIEW:

McCain is embarking on a digital transformation. As part of this transformation, we are making significant investments into our data systems, structures and policies, and building digital products for our customers, key suppliers and McCain team members to enable digital processes and data-driven automation over time. Our Technology team's goal is to inspire growth through innovative technology experiences. Our digital teams are key to deliver this ambition. McCain has established digital teams in Agriculture and Commercial and we are now looking forward to expanding our investments in Manufacturing embedded in our MDIxAI program. Do you want to help define the future of McCain and play a vital role in McCain's next digital transformation? Do you want to have an impact on McCain's key strategic project? Make the next big move in your career and join us as we embark on our global MDI x AI digital transformation journey, building the future of McCain's manufacturing facilities and digitizing our plants and processes.

JOB PURPOSE:

As a Director within our Data, AI, and Analytics tech organization, you will play a pivotal role in developing data and analytics strategy in partnership with our global and regional manufacturing functions. You have extensive experience in digital manufacturing, Data, and AI to lead our digital transformation journey in the CPG/Food or other IoT based industrial products manufacturing companies. The successful candidate will be responsible for implementing strategic initiatives to optimize our manufacturing operations, enhance productivity, reduce waste, reduce downtimes and optimize resource consumptions. You will drive continuous improvement through the integration of IoT devices, data pipelines, AI, and Advanced Analytics solutions to drive better predictability in our business.

JOB RESPONSIBILITIES:

  • Lead the design, development, and implementation of digital manufacturing solutions leveraging IoT devices, advanced data analytics, AI to optimize production processes, improve equipment reliability, control quality, and drive operational efficiencies.
  • Collaborate with global and regional cross-functional teams including engineering, operations, tech services, supply chain, to define data platform requirements, and develop machine learning models and analytics solutions that deliver business outcomes.
  • Create and maintain a comprehensive data analytics roadmap aligned to global and regional digital manufacturing goals and industry best practices.
  • Drive the collection, analysis, validation, classification, projection of manufacturing data to identify trends, patterns and insights that enable proactive maintenance.
  • Implement advanced analytics and machine learning algorithms to develop predictive models for process optimization, quality control and resource optimization.
  • Lead the integration of digital manufacturing technologies with in-house and 3rd party software, ensuring seamless interoperability and data flow across the enterprise data platform.
  • Stay current with emerging technologies, data security, and best practices in digital manufacturing.

    • KEY QUALIFICATION & EXPERIENCES:

  • Bachelor’s degree in engineering, computer science, data science, or related field; Master’s / PhD degree preferred.
  • Proven experience in digital manufacturing, advanced analytics and AI, with deep understanding of manufacturing data and AI to maximize equipment availability, optimize performance, and ensure high-quality output to enhance overall production efficiency.
  • Strong technical expertise in IoT technologies, sensor networks, data acquisition systems, and industrial automation platforms.
  • Experience with machine learning algorithms, and statistical analysis techniques.
  • Experience implementing advanced analytics solutions in manufacturing including descriptive analytics, diagnostic analytics, prescriptive analytics, predictive quality control, energy management, predictive maintenance, process optimization, asset performance management,
  • Excellent program execution and change management skills with the ability to lead cross-functional teams to drive global initiatives from ideation to implementation using Agile methodology.
  • Strong communication skills with the ability to effectively convey technical concepts to business stakeholders.
  • Strategic thinker and thought leader with a passion for innovation and continuous improvement in manufacturing processes.
  • Experience with both edge computing and cloud computing, and event-driven architecture.
  • Experience of working effectively in a culturally diverse organization within the FMCG/CPG industry.
  • Strong product management experience with experience supporting data-products P&Ls.
  • Passion for innovation, continuous learning and ability to work in a global, matrix organization.

    • McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. 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 meet your needs.

    The health and safety of McCain employees and their families has been our number one priority since the start of COVID-19 pandemic. With vaccination restrictions easing across the globe we do not currently require employees to be vaccinated, but we reserve the right to change this mandate in line with health guidance and regulations in each country Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Privacy Policy

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