Data & AI Director

Role overview Lead complex data and AI consulting pursuits and guide the technical delivery of client engagements, with particular focus on industrial and manufacturing organizations. This is a player-coach role: roughly half the time is client-facing delivery, often across two engagements, while the rest supports new business, solution quality, staffing, and reusable practice assets. The role begins without direct reports and leads through technical judgment, coaching, and influence.

Responsibilities - Lead pursuits from qualification through proposal and signed scope, shaping solutions, estimates, costs, delivery phases, and executive presentations. - Make pursuit go/no-go recommendations based on business value, risk, and delivery capability. - Serve as technical lead on client engagements, owning architecture, technical risk, and solution quality. - Ensure AI solutions have the data, platform, evaluation, observability, and support foundations needed for production use. - Review and coach other teams’ proposals; help shape staffing and connect technical work to business outcomes. - Create reusable architectures, estimating approaches, and delivery patterns, and contribute to industry perspectives and responsible use of AI tools.

Requirements - Typically 12 or more years in data, analytics, or AI, including at least five years in consulting, professional services, or client-facing delivery. - Experience leading multiple engagements and designing AI or agentic solutions alongside modern data platform architectures. - Recent depth in at least one of Databricks, Google Cloud, or Microsoft data and AI platforms, and working familiarity with the other two. - A record of shaping enterprise pursuits through solution design, estimating, scoping, and executive presentations. - Strong technical judgment and communication, including the ability to explain and defend recommendations with senior clients. - Experience delivering data or AI work in industrial, manufacturing, agriculture, or distribution businesses.

Nice to have French language skills, current certifications in relevant cloud or data platforms, and a public perspective on enterprise AI through writing or conference talks.

Benefits and work setup Full-time role based in Canada, with remote and hybrid options depending on location. The source lists an annual salary range of CAD 150,000–200,000, medical, dental, and vision insurance, employer health savings contributions, professional development, and international mobility opportunities.