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Director, Data Engineering and AI
Job Description & How to Apply Below
Our client in the financial sector is seeking a fulltime Director, Data Engineering & AI to lead the development of its data platform, governance framework, analytics capabilities, and applied AI solutions.
This is a hands-on leadership position
, with approximately 80% of the role focused on data/AI architecture, design and engineering and 20% on data strategy and governance
. The successful candidate will build an integrated Microsoft-based data environment while developing the organization’s capabilities around AI agents, automation, structured and unstructured data, and responsible AI.
Location:
Hybrid 3d/week downtown Toronto
- Build and lead a unified Microsoft Azure data and reporting platform integrating Dynamics 365, Dataverse, SharePoint, Teams, Microsoft Fabric, and other enterprise data sources.
- Design and implement scalable data architecture, pipelines, integrations, and reporting solutions.
- Establish metadata, taxonomy, content ontology, data quality, governance, and privacy standards using Microsoft Purview.
- Deliver Power BI reporting and self-service analytics capabilities.
- Develop solutions for structured, semi-structured, and unstructured information including documents, images, PDFs, and call recordings.
- Build an AI-ready data foundation and deliver applied AI and automation solutions using Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, and Power Automate.
- Apply AI to use cases including transcription, summarization, sentiment analysis, entity extraction, image understanding, and document understanding.
- Partner with business leaders to identify and prioritize AI agent opportunities.
- Establish practical standards to ensure AI solutions are secure, responsible, scalable, and reliable.
- Lead and develop a small data and AI team as the function grows.
- 8+ years of experience in data engineering, data platforms, or related roles within the Microsoft ecosystem.
- Strong hands-on experience with Azure data services, Microsoft Fabric, Azure SQL, Dataverse, and Power BI.
- Experience integrating Dynamics 365 and SharePoint as enterprise data sources.
- Proven experience designing and building cloud data platforms, pipelines, and governance capabilities.
- Experience working with structured, semi-structured, and unstructured data at scale.
- Experience with document processing, OCR, speech-to-text, summarization, sentiment analysis, and/or entity extraction.
- Experience creating AI-ready data foundations and delivering practical AI agent solutions.
- Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Power Automate, or related technologies.
- Experience using open-source technologies within Azure while maintaining enterprise data within the Microsoft environment.
- Strong leadership, problem-solving, communication, and stakeholder-management skills.
- Experience operating in a regulated, privacy-sensitive, financial services, or similar environment is an asset.
- Relevant Microsoft data, AI, machine learning, or cloud certifications are an asset.
- French/English bilingualism is an asset.
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