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 transparent, 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 .

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📌 Data & AI Engineering Manager (New Brunswick)
🏢 Harvey Nash
📍 New Brunswick