Jobs at Global Excel Management

Coordinates technical and process training, coaches customer service representatives, conducts quality audits, monitors performance metrics, improves workflows, manages escalations, and supports team KPIs. Partners with leadership to align training and quality assurance initiatives with organizational objectives while providing operational and supervisory support.

Oversee consolidated financial reporting for 20+ subsidiaries, including monthly and annual results, intercompany transactions, allocations, audit coordination, accounting policies, and complex accounting guidance. Present financial information to senior executives, maintain consolidation systems and charts of accounts, support transfer pricing documentation, and ensure compliance with Canadian GAAP and internal controls.

Leads a team of Quality and Employee Development Coaches responsible for quality audits, coaching, training, employee development, and performance improvement. Manages daily team operations, monitors performance, ensures consistent QA practices, and translates process changes into training materials, audit criteria, coaching tools, and job aids. Partners with department leaders and continuous improvement teams to address trends, root causes, operational priorities, and employee development needs.

Designs and maintains scalable data pipelines, warehouses, lakes, and cloud-based data architectures using Snowflake and Azure services. Develops dbt transformations, Azure Data Factory orchestration, automated data quality checks, and data governance processes. Creates data dictionaries, lineage, metadata, and standards while collaborating with business and data teams. The role also involves mentoring developers and promoting secure, scalable, and cost-efficient data engineering practices.

Designs, develops, and maintains scalable data pipelines, warehouses, lakes, and cloud-based data architectures using Snowflake and Azure services. Builds transformations with dbt and orchestrates ETL workflows using Azure Data Factory or similar tools. Implements data quality checks, governance policies, metadata management, data dictionaries, lineage, and classification standards. Collaborates with business and data teams to create efficient models and standards while mentoring developers and promoting best practices.