AI Data Lead

Role overview

Responsibilities

• Lead AI data architecture design and establish standards and best practices.
• Build and maintain trusted, secure, governed, and AI-ready enterprise data foundations.
• Design access architecture for structured and unstructured data sources, including data platforms, repositories, CRM, and ERP systems.
• Resolve data redundancy, currency, field validation, and system-of-record issues that affect AI performance.
• Build and maintain ETL pipelines and document their sources, schemas, and transformation logic.
• Enhance the data catalogue and glossary and resolve data quality issues with Data Governance.
• Ensure AI data use meets privacy, retention, access, and regulatory requirements.
• Prioritize high-value use cases and lead proofs of concept, pilots, and technical delivery.

Qualifications

• Bachelor’s degree in a related STEM discipline such as Computer Science, Engineering, Information Technology, Data Science, Mathematics, or Statistics.
• At least 7 years of progressive experience in data engineering, data architecture, analytics engineering, or cloud data platforms.
• Experience designing modern data architectures and enterprise integration and pipeline solutions.
• Hands-on experience with data warehousing, data lakes, query, processing, orchestration, governance, and visualization.
• Strong knowledge of data governance, quality, metadata, master data management, security, and compliance.
• Experience implementing enterprise AI, generative AI, intelligent automation, and data governance solutions.
• Proven ability to implement AI-ready data foundations for Copilot or enterprise AI initiatives.
• Microsoft Data technology experience is strongly preferred, and a Master’s degree in Computer Science is preferred.

Technology environment

• Relevant Microsoft technologies include Data Factory, Databricks, Synapse, Fabric, Power BI, Azure SQL, Copilot, Azure AI Foundry, and Microsoft Purview.
• The role supports AI applications, agents, analytics, ERP and CRM systems, and enterprise knowledge sources.

Work arrangement

• Teams are required to be together in the office four days per week.
• The role is associated with Toronto.

Compensation

• The current annual salary range for Toronto is CAD 101,900–CAD 140,100.
• Placement within the range depends on background, skills, impact, and internal equity.

Benefits

• Benefits may include profit sharing, flex days, RRSP contributions, firmwide holiday closure, wellness benefits, and concierge-like benefits.
• Employees may work from anywhere in Canada during the summer for four weeks.