Senior Data & AI Consultant/Consulting Lead (Montreal, Canada)

Unit8 SA•Montreal, QC

14d•Hybrid

About The Position

Unit8 is seeking an entrepreneurially minded Senior Data & AI Consultant/Consulting Lead to establish its Canadian presence. This role is part of the Unit8 Data & AI Consulting Practice, responsible for the entire lifecycle from business development to project delivery and client relationship building. The individual will be a core team member focused on scaling the consulting practice within a growing professional services provider in Data & AI.

Requirements

5-10 years of work experience in a leading management consultancy at the intersection of business & technology or an equivalent experience in a corporate environment.
Track record of advising clients on data and AI (e.g. Agentic AI, GenAI, data & AI platforms) and seeing those engagements through to real outcomes and solutions.
Able to walk into ambiguity and make the judgement to quickly find the relevant things that matter to clients, either during an ongoing project or business development activities.
Talented in building lasting relationships with clients and team members.
Holding a Bachelor’s or Master’s degree in IT/computer science, engineering, business, mathematics, or natural sciences.
Fluent in English.

Nice To Haves

French is a plus.

Responsibilities

Work closely with the head of our Data & AI Consulting practice as part of a small, high-performing team.
Identify the use cases — across analytics, generative, and agentic AI — that actually create business value for our clients from strategy to implementation.
Guide clients on their journey to becoming truly data- and AI-driven, by assessing their data, analytics and AI maturity, spotting the use cases that deliver value across analytics, generative and agentic AI, and shaping a pragmatic roadmap to get there.
Team up with our data engineers, data scientists, AI engineers and solution architects to turn those use cases into impactful solutions, from modern data platforms and analytics products to machine learning and AI applications.
Shape the critical enablers that make data and AI work at scale, such as data & AI governance, LLMOps and MLOps, responsible, compliant AI, and the operating models behind data and AI centres of excellence.
Contribute to our business development in preparing and participating in industry conferences, workshops and client conversations.
Support the creation of white papers and industry thought leadership on data science & AI-related topics.