Location: 100% Remote anywhere in Canada
Duration: Full‐time
Job Description
Role Overview
We are seeking an Data & AI Engineering Manager to lead high‐impact teams building scalable, customer‐facing data and AI products in a modern SaaS environment. This role blends hands‐on technical leadership, people management, and architectural ownership, with a strong emphasis on AI‐driven capabilities and data platform excellence.
You will guide engineers through technical complexity, foster a high‐trust and people‐first culture, and partner closely with product, data science, and platform teams to deliver reliable, secure, and scalable solutions.
Key Responsibilities
- Lead, mentor, and develop a team of Data and/or AI Engineers, providing clear technical direction, career coaching, and performance feedback.
- Drive the design and evolution of scalable data and AI architectures, leveraging technologies such as Databricks, Apache Spark, Azure, and Kubernetes.
- Oversee the development of customer‐facing data products, ensuring reliability, performance, and strong engineering standards.
- Guide teams through complex system design, data governance, and platform decisions, emphasizing reusable, maintainable architectures.
- Partner cross‐functionally with Product, Data Science, and Platform teams to align technical solutions with business and customer needs.
- Champion modern AI practices, including Machine Learning, Generative AI, RAG architectures, and agentic frameworks.
- Foster a culture of accountability, autonomy, and continuous improvement in a fast‐paced, agile environment.
- Clearly communicate technical strategy, trade‐offs, and outcomes to both technical and non‐technical stakeholders.
Required Qualifications
- 6+ years of software engineering experience, including 2+ years in a direct people management role.
- 3–5 years of experience working on Data and/or AI Engineering teams.
- Strong experience building modern SaaS data products using Python, Databricks, Azure, and Kubernetes.
- Proven expertise with Data Lakehouse architectures, Apache Spark, software design principles, and data governance.
- Solid understanding of Data Science concepts, including Machine Learning and Generative AI.
- Demonstrated ability to lead with empathy, accountability, and a people‐first mindset in autonomous environments.
- Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights.
Preferred Qualifications
- Experience or strong interest in FinTech and regulated environments.
- Strong Agile and DevOps mindset, with experience driving continuous delivery and operational excellence.
- Exposure to AI technologies beyond traditional ML, including Generative AI, RAG, and agentic AI frameworks.
Data & AI Engineering Manager in Ottawa employer: Harvey Nash
Join a forward-thinking Physical AI company that prioritizes innovation and employee growth. As a Cloud Platform Engineer, you'll be part of a collaborative work culture that values creativity and technical excellence, with ample opportunities for professional development in a rapidly evolving field. Located in a vibrant tech hub, this role offers unique advantages such as access to industry-leading resources and a supportive environment that fosters meaningful contributions to real-world AI applications.
