COMPANY BACKGROUND
Tree Island Steel Ltd. (“Tree Island Steel” or the “Company”) is a publicly listed company whose shares are traded on the Toronto Stock Exchange under the symbol TSL. Headquartered in Richmond, British Columbia, since 1964, Tree Island Steel, through its three operating facilities in Canada and the United States, produces wire products for a diverse range of industrial, residential construction, commercial construction, agricultural, and specialty applications. Its products include bright wire; a broad array of fasteners, including packaged, collated and bulk nails; stucco reinforcing products; concrete reinforcing mesh; fencing and other fabricated wire products. The Company markets these products under the Tree Island®, Halsteel®, True-Spec®, K-Lath®, TI-Wire® and Tough Strand® brand names. Tree Island Steel operates in Canada under Tree Island Industries Ltd and in the United States under Tree Island Wire (USA) Inc.
POSITION SUMMARY
The Manufacturing Analytics Lead serves as the primary architect for the facility’s digital and data infrastructure. This role is responsible for the end-to-end integration of industrial machine and shop floor data, with enterprise-level business systems. The successful candidate will operate at the intersection of IT and Operational Technology, utilizing IBM DataStage for data engineering, QAD ERP for operational data management, and the Cognos/Power BI suites for advanced data visualization and business intelligence.
RESPONSIBILITIES
Data Ownership & Governance
- Data Stewardship: Act as the primary custodian of manufacturing data, ensuring its accuracy, availability, and security across the lifecycle from the devices to the databases.
- Standardization: Define and enforce data ownership protocols to ensure clear accountability for data quality across different production departments.
- Integrity & Compliance: Establish rigorous data standards to ensure a "Single Version of Truth" across physical production outputs and digital financial records.
Cross-Functional Collaboration
- Inter-Departmental Liaison: Foster high-level collaboration between various departments such as IT, Finance, Production, Business Planning, Customer Service, Maintenance, Shipping and Quality Assurance teams to align technical solutions with operational realities.
- Change Management: Lead cross-functional workshops to bridge the gap between technical data architecture and practical shop-floor applications.
- Stakeholder Engagement: Partner with plant leadership and finance to ensure that analytics initiatives drive measurable business outcomes and ROI.
Enterprise Systems & Data Integration
- ERP System Management: Serve as the technical lead for QAD ERP data synchronization, ensuring that production metrics, inventory movements, and labor allocations are reflected accurately within the enterprise system.
- Data Engineering & ETL: Design and maintain complex data integration sequences using IBM InfoSphere DataStage to facilitate seamless data flow between various sources and DB2 database.
Operational Technology (OT) & IoT Deployment
- Hardware Interfacing: Take part in installation and configuration of IoT gateways, edge computing devices, and industrial sensors to capture real-time machine-level data.
- Industrial Protocol Integration: Facilitate robust communication between machine PLCs and enterprise systems utilizing protocols such as OPC-UA and Modbus.
Strategic Project Involvement & Innovation
- Digital Transformation Roadmap: Actively participate in the design and execution of strategic, forward-looking projects aimed at achieving Industry 4.0 maturity.
- Advanced Analytics Evolution: Lead the transition from descriptive reporting to prescriptive analytics, leveraging machine learning and AI to optimize production schedules and maintenance cycles.
- High-Impact Initiatives: Provide technical leadership for key projects, including automated data capture, predictive maintenance frameworks, and the pilot-testing of Generative AI tools.
Business Intelligence & Visualization
- Enterprise Reporting: Develop and govern standardized corporate reporting within Cognos BI to support executive decision-making.
- Operational Dashboards: Engineer high-velocity, interactive visualizations in Power BI to monitor real-time Key Performance Indicators (KPIs) such as OEE, scrap rates, and throughput.
PROFESSIONAL REQUIREMENTS AND QUALIFICATIONS
- Bachelor’s degree in Computer Science, Industrial Engineering, Data Science, or a related technical field.
- Minimum of 5 years of experience with IBM DataStage, Power BI, and Cognos BI.
- Demonstrated experience working with an ERP within a manufacturing environment.
- Ability to work effectively within a high-speed manufacturing environment, adhering to all safety protocols and PPE requirements.
- Strong analytical, problem solving, and prioritization skills.
- Ability to work collaboratively in a fast paced, dynamic environment.
- Excellent verbal and written communication skills.
CORE COMPETENCIES
Exemplary demonstration of the following competencies is critical for this role as we continue the development of the company’s culture and aptitude for success:
- Safety and Efficiency
- Resiliency and Adaptability
- Problem-solving and Lifelong Learning
