Job DescriptionJob Title: Manager, Engineering & Data Platform Location: Flex Scheduled (180 Kent Street, Ottawa Ontario or 4101 Yonge Street, Toronto Ontario) Your place in our story
We are seeking a dynamic and experienced Manager, Engineering & Data Platform to lead the development of scalable software systems and robust data infrastructure. This hybrid role combines oversight of engineering solutions with governance and operational excellence for data platforms. You will shape our technology roadmap, incorporating AI-driven and agentic solutions to ensure products are data-driven, secure, and built for next-generation scalability.
Experience with Power Platform, Power BI, MuleSoft, Agile methodologies-and emerging AI/agent frameworks-is a must.
Here's how you'll contribute - Lead the integration of Microsoft Power Platform solutions to optimize business operations.
- Manage a team deploying Power Apps, Power Automate, and Power BI for efficiency gains.
- Implement Agile practices (Scrum, Kanban) for collaboration and productivity.
- Integrate DevOps for smoother deployments using automation to reduce errors.
- Establish coding standards; conduct code reviews with static analysis tools.
- Own data architecture, governance, and compliance including GDPR/HIPAA.
- Develop data pipelines, warehouses, and analytics platforms with BI analysts.
- Enhance dashboards and troubleshoot BI data models for solution quality.
- Drive adoption of AI and agentic technologies into platform design and workflows.
- Develop intelligent automation strategies leveraging AI solutions to optimize data operations and improve business efficiency.
What you bring to the teamHere's what will help you stand out. And even if you don't tick every box-we believe in your potential and are here to support your growth.
- Leadership experience managing software development or analytics teams.
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Proficiency in Power BI or similar tools for data visualization.
- Hands-on experience in data warehousing, SQL, OLAP, ETL frameworks.
- Familiarity with Microsoft technologies (Power BI, SSRS, SSAS, SSIS, MS Fabric), Power Apps, Power Automate, MuleSoft, Azure DevOps.
- Experience managing AI-enabled platforms or integrating AI/LLM agentic capabilities into data-driven systems.
- Ability to manage multiple projects and prioritize effectively.
- Knowledge of enterprise data policies, API management, and orchestration platforms.
- Experience with AI orchestration tools, intelligent automation frameworks, and next-gen platform development.
Hiring pay range rate: $130,000 - $150,000
Pay ranges at Minto are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the location for where the position is being filled.
