Senior Specialist, Data Modeler – OT & Industrial Automation

Vale • Greater Sudbury, ON

1d • CA$119,000 • Onsite

About The Position

We are currently seeking a Senior Specialist, Data Modeler – OT & Industrial Automation to join our IT – Data Analytics & Reporting team, supporting Vale Base Metals operations in Sudbury, ON. This is a permanent position, supporting complex Operational Technology (OT) and Industrial Automation environments across mining and processing operations. This is an opportunity for an experienced OT data and analytics professional who thrives in data‑rich, industrial environments and enjoys working at the intersection of operations, automation, analytics, and advanced digital technologies. The role plays a critical part in ensuring OT and Industrial Automation data is reliable, scalable, governed, and optimized for reporting, analytics, and AI‑driven decision‑making. You will work closely with data engineers, data scientists, business analysts, automation teams, and vendors to deliver high‑value data models, pipelines, dashboards, and analytics solutions. This position supports enterprise‑scale and site‑level initiatives, enabling operational efficiency, performance optimization, and strategic planning through trusted data. You will report to the Manager of Reporting and Visualization and work closely with cross-functional teams including data scientists, analysts, architects, and business stakeholders.

Requirements

• Bachelor’s degree in computer science, Data Science, Software Engineering, or a related field
• 8–10+ years of experience in data modeling, analytics, or data platform roles.
• Strong experience with OT and Industrial Automation data, preferably in mining, heavy industry, or manufacturing environments
• Proven expertise modeling time‑series, sensor, telemetry, production, and maintenance data.
• Hands‑on experience with Azure, Databricks, SQL Server, Power BI, SAP Analytics, and data pipeline tools
• Experience supporting AI/ML and advanced analytics solutions
• Demonstrated ability to work across complex, multi‑stakeholder environments
• Experience managing vendors and coordinating cross‑functional delivery teams
• Expert‑level data modeling and analytics skills in OT and industrial contexts
• Strong understanding of OT systems, SCADA, PI systems, and industrial data flows
• Proficiency in SQL and scripting languages (Python preferred)
• Strong data governance, data quality, and security knowledge
• Ability to analyze complex datasets and translate them into business insights
• Excellent communication skills, with the ability to engage both technical and business stakeholders
• Organized, proactive, and adaptable approach in dynamic environments

Nice To Haves

• OSIsoft (AVEVA) PI System Infrastructure Certification
• ISA Certified Automation Professional (CAP)
• Azure Cloud certifications
• SAP Analytics or Datasphere certifications
• Databricks, Data Modeling, Data Visualization, or AI/ML certification
• Certified Data Management Professional (DAMA)

Responsibilities

• Design, develop, and maintain scalable OT and Industrial Automation data models
• Represent key OT entities such as equipment, sensors, telemetry, production events, and maintenance data
• Model high‑frequency, real‑time, and historical datasets across mine sites and plants
• Support digital twin concepts, real‑time operational metrics, and production performance analysis
• Ensure models are fault‑tolerant, performant, and recoverable
• Identify OT data sources and collaborate on ETL and data pipeline development
• Design models compatible with platforms such as Azure Data Services, Data Lakes, Databricks, SQL Server, SAP Datasphere, and Power BI
• Automate data workflows to improve reliability and reduce manual intervention
• Optimize model performance for large‑scale and high‑velocity data environments
• Align data designs with enterprise data governance and architecture standards
• Build and support data models for Power BI, SAP Analytics Cloud, Business Objects, and planning solutions
• Deliver high‑quality dashboards and reports that provide actionable operational insights
• Support drill‑down and drill‑through reporting capabilities
• Ensure data accuracy, integrity, and performance across reports and analytics solutions
• Partner with stakeholders to understand data needs and define analytics use cases
• Collaborate with Data Scientists and Engineers on AI/ML and advanced analytics solutions
• Support data modeling for predictive analytics, anomaly detection, and optimization use cases
• Identify and prepare OT data sources for machine learning and AI initiative
• Act as a trusted advisor to business stakeholders on OT data and analytics
• Guide democratized users on best practices, performance optimization, and governance
• Coordinate with vendors, infrastructure teams, DBAs, and analytics partners
• Support vendor deliverables, validate quality, and promote solutions to production
• Ensure alignment with security, compliance, and data governance requirements
• Create and maintain comprehensive solution documentation, including data models, mappings, and architecture diagrams
• Support training and knowledge transfer to peers and stakeholders
• Contribute to continuous improvement and data maturity initiatives

Benefits

• Competitive compensation including a variable annual incentive plan
• Participation in a competitive Defined Contribution Pension package
• Comprehensive benefits package (company paid core coverage, health and dental coverage, flex accounts, disability plans, and optional insurances)
• Leave for all of life’s reasons (vacation, personal, sick, parental)
• Work culture dedicated to safety, diversity & inclusion, and career growth
• Employee Family Assistance Program
• Virtual Healthcare online
• Online training and career development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior