Top Tech Jobs & Startup Jobs in Montreal

Leads consulting engagements at the intersection of business, data, and technology. Responsibilities include identifying opportunities, defining KPIs and business cases, facilitating client workshops, translating requirements into data and analytics solutions, presenting to executives, supporting Agile delivery, managing backlogs, mentoring consultants, and contributing to business development. Requires extensive business analysis or consulting experience, bilingual English/French communication, data and BI knowledge, and team leadership.

The Business Development Executive identifies new opportunities in freight, logistics, and transportation; builds client and partner relationships; conducts market research; develops proposals; negotiates contracts; closes deals; and achieves sales targets. The role collaborates with operations and logistics teams, attends industry networking events, and maintains knowledge of transportation regulations and technology trends.

Leads data engineering consulting, modern Lakehouse platform architecture, and development of scalable batch and real-time data pipelines across Azure, AWS, and GCP. Builds and manages a data engineering team, defines architecture and security practices, supports AI presales, develops accelerators, and engages clients and stakeholders. Requires deep expertise in Python, Spark, Databricks, cloud data platforms, streaming, orchestration, CI/CD, and data architecture, plus bilingual French and English communication skills.

Design, develop, deploy, evaluate, and optimize AI solutions focused on LLMs and generative AI. Build scalable Python and Azure Machine Learning workflows, integrate models into client platforms, and apply DevOps/MLOps practices for testing and deployment. Assess model quality, bias, hallucinations, and ethical alignment while delivering end-to-end software solutions. Lead bilingual technical discussions, maintain code and documentation standards, and manage projects from concept through production.

Designs and implements conceptual, dimensional, and physical data models; establishes data governance, policies, metadata, access controls, and regulatory compliance. Advises customers on modern analytics platforms, data lakes, BI, and AI scalability. Collaborates with business stakeholders, data engineers, and analysts to align requirements with architecture, assess data sources, guide transformation initiatives, support sales efforts, and lead architectural deliverables. Requires strong SQL, cloud, data modeling, governance, communication, and customer-facing consulting skills.

Leads internal and client project delivery from planning through release, managing scope, schedules, budgets, risks, resources, vendors, governance, documentation, and stakeholder communication. Develops business cases, monitors project performance, coordinates committees, resolves issues, and ensures time, cost, and quality objectives are met. Requires experience with agile and waterfall methodologies, project controls, business analysis, data interpretation, and bilingual English-French communication.

Leads pre-sales and business development for data and analytics consulting services. Develops value propositions, business cases, ROI analyses, sales strategies, presentations, RFP/RFI responses, and solution recommendations. Partners with sales and technical leaders across AI, data engineering, architecture, and governance to address customer needs, close deals, and identify future product opportunities. The role also supports building and leading a future D&A pre-sales team.

Drive enterprise and mid-market sales of data, analytics, AI, cloud transformation, and consulting services. Build and qualify pipelines, develop C-level relationships, originate and close opportunities, negotiate contracts, expand accounts, and propose solutions for complex technology needs. Manage the full sales cycle, track opportunities in Microsoft Dynamics, and support digital transformation initiatives across multiple industries. The role requires strong data-platform knowledge, direct sales experience, cloud solution expertise, bilingual English-French communication, and the ability to engage stakeholders across Canada, the United States, and global markets.

Drive enterprise and mid-market sales for data, analytics, AI, cloud transformation, and consulting services. Build and manage opportunity pipelines, identify and qualify prospects, develop executive relationships, create pursuit strategies, negotiate contracts, expand accounts, and close deals. The role requires full-cycle direct sales experience, technical understanding of traditional and cloud data solutions, CRM discipline, and bilingual English-French communication for Canadian and international stakeholders.

Leads a Data and AI consulting practice, shaping analytics transformation strategies, operating models, AI use cases, cloud data solutions, and enterprise analytics programs. Drives business development, sales origination, proposal and case development, thought leadership, practice assets, client relationships, and cross-geography team leadership. Guides clients in data governance, analytics adoption, value creation, and data-driven business transformation while developing talent and future practice leaders.