Continuous Improvement Engineer

Résumé du poste

The Continuous Improvement Engineer will identify and prioritize high-impact improvement opportunities by integrating AI-driven analytics with Lean Six Sigma methodologies. They will lead hypothesis-driven initiatives, design decision-oriented dashboards, and coach teams on the effective use of AI tools to drive operational efficiency.

Détails du poste

Job Description Continuous Improvement Engineer We’re a naan traditional company… Summary Continuous Improvement at FGF no longer starts with a human walking the floor looking for waste. It starts with AI — a suite of computer vision, real-time analytics, and predictive tools that watch every line across every facility and every shift, surfacing ranked improvement hypotheses before most problems become visible to the human eye. As an AI-Enabled CI Engineer, you work in a genuine human-AI partnership. AI handles data collection, pattern recognition, and hypothesis generation at a scale no human team could match. You bring what it can't: the ability to walk the floor, read people, challenge a data signal with lived operational experience, design a clean experiment, and make an improvement stick with the team running the line. If you've been waiting for a CI role that treats AI as a genuine partner rather than a reporting add-on — this is it. What FGF Offers FGF believes in Home Grown Talent, accelerated career growth with leadership training. Unleashing Your Potential. Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account. RRSP matching program. Tuition reimbursement. Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc. Primary Responsibilities Identify and prioritize high-impact improvement opportunities using AI-driven analytics (forecasting, anomaly detection, and pattern recognition) combined with Lean Six Sigma methodologies. Validate and refine data-driven insights through Gemba walks and direct observation to ensure operational relevance. Own the design and delivery of decision-oriented dashboards and automated insights that translate data into actionable signals for faster decision-making. Lead hypothesis-driven improvement initiatives, integrating root cause analysis with AI-supported insights to deliver measurable gains in productivity, quality, cost, and service levels. Automate repetitive workflows and reporting using AI and low-code/no-code platforms to improve efficiency and reduce manual effort. Identify and escalate implementation barriers—including process gaps, behavioral resistance, and structural constraints—that are not visible through data alone. Monitor and continuously improve process performance using real-time KPI tracking and feedback loops. Enable digital transformation by embedding AI capabilities into continuous improvement processes and daily management systems. Train and coach teams on CI methodologies and the effective, responsible use of AI tools. Leverage AI copilots to accelerate analysis, documentation, and experiment design, applying critical judgment to validate outputs. Develop and deploy predictive analytics to proactively identify risks, performance gaps, and inefficiencies. Partner with cross-functional teams to implement, scale, and sustain data-driven improvements. Required Experience Bachelor's degree in Engineering, Operations & Supply Chain, Data Analytics, or a related field. 2–4 years of experience in manufacturing, operations, or continuous improvement. Hands-on proficiency with AI tools (e.g., Claude, Copilot, GPT) to accelerate analysis, pattern recognition, and decision-making. Ability to design and execute experiments, including defining success criteria, control conditions, and validation approaches. Experience working with large and complex datasets, identifying patterns, anomalies, and performance gaps across systems. Demonstrates an agile mindset by adapting quickly, applying iterative problem-solving, and driving data-driven continuous improvement. Strong foundation in Lean Six Sigma methodologies, with the ability to apply them in combination with data-driven and AI-assisted insights. Proven ability to lead and execute continuous improvement initiatives to drive operational efficiency and performance gains. Proficiency in data interpretation and visualization, with experience in tools such as Power BI or equivalent platforms. Strong business acumen, with the ability to prioritize problems based on operational and financial impact. Excellent communication and stakeholder management skills, with the ability to translate insights into clear, actionable recommendations. Ability to integrate data, process knowledge, and technology to drive measurable improvements. What is the recipe for a great career at FGF?Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of. We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas. Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time. In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization FGF Brands may use Artificial Intelligence (AI) tools as part of our recruitment and selection process. These tools may assist in screening, assessing, or selecting applicants. AI tools are used to support our recruitment process, with final hiring decisions made by our recruitment and hiring teams FGF Brands is committed to providing an accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the recruitment and selection process. If you require an accommodation, please let our recruitment team know, and we will work with you to meet your accessibility needs #LI-ONSITE #LI-CO1

Ce que vous ferez

The Continuous Improvement Engineer will identify and prioritize high-impact improvement opportunities by integrating AI-driven analytics with Lean Six Sigma methodologies. They will lead hypothesis-driven initiatives, design decision-oriented dashboards, and coach teams on the effective use of AI tools to drive operational efficiency.

Exigences

Candidates must hold a bachelor's degree in Engineering, Operations, Supply Chain, or Data Analytics, along with 2–4 years of experience in manufacturing or operations. Proficiency in AI tools, data interpretation, and Lean Six Sigma methodologies is required to successfully execute data-driven improvements.

Avantages

• Competitive compensation • Health benefits • Flexible medical/health spending account • RRSP matching program • Tuition reimbursement • Discount program

Compétences indiquées

• Continuous Improvement · Souhaitée
• Visualisation de données · Souhaitée
• Power BI · Souhaitée
• Process Optimization · Souhaitée
• Operational Efficiency · Souhaitée
• Root Cause Analysis · Souhaitée
• Stakeholder Management · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Continuous improvement
• Lean Six Sigma
• AI tools
• Data analytics
• Predictive analytics
• Computer vision
• Real-time analytics
• Process optimization
• Root cause analysis
• Power BI
• Data visualization
• Operational efficiency
• Experiment design
• Stakeholder management
• Digital transformation
• Operational Efficiency
• Data Interpretation
• No-Code Development Platform (NCDP)
• Supply Chain
• Workflow Management
• Digital Transformation
• Agile Methodology
• Artificial Intelligence
• Data Analysis
• Anomaly Detection
• Automation
• Business Acumen
• Dashboard
• Decision Making
• Communication
• Continuous Improvement Process
• Creativity
• Data Collection
• Experience Design
• Experimentation
• Forecasting
• Gemba
• Problem Solving
• Key Performance Indicators (KPIs)
• Leadership Development
• Manufacturing Operations
• Operations
• Pattern Recognition
• Predictive Analytics
• Refining
• Stakeholder Management
• Process Improvement
• Root Cause Analysis
• Prioritization
• Claude AI

Domaines d’emploi

• Engineering
• Manufacturing
• Data & Analytics
• Food & Beverage
• Management & Leadership
• Continuous Improvement Engineer
• Lean Manufacturing Engineer
• Industrial and Production Engineers
• Manufacturing Engineers
• Industrial Engineers