Data & AI Engineering Manager

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 .

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