Senior Manager, AI Strategy & Business Development

Role overview

Origination and solution shaping

• Originate AI opportunities and develop account growth strategies with sales and account teams; build relationships with senior client stakeholders.
• Lead qualification, discovery, use-case prioritization, value articulation, and deal shaping.
• Lead strategy workshops and translate business priorities into practical transformation roadmaps and consulting opportunities.
• Shape pursuits through proposals, presentations, negotiation, and transition to delivery; develop business cases and coordinate solution estimates, plans, models, assumptions, and risks.
• Support demonstrations, proofs of concept, proposal responses, and joint opportunities with Microsoft and Databricks.

Client leadership and market presence

• Advise executives on AI strategy, operating models, adoption, governance, value realization, and responsible deployment.
• Represent the Data & AI practice in client briefings, events, forums, and partner discussions; develop reusable points of view, offerings, demonstrations, and sales materials.
• Contribute to go-to-market strategy and coach teams on AI storytelling, value articulation, and opportunity development.

Delivery collaboration

• Apply delivery experience to help ensure proposed AI solutions can move from concept to production; support early engagement oversight and sales-to-delivery transition.
• Participate in architecture and delivery reviews; identify delivery risks, adoption barriers, data dependencies, governance needs, and Responsible AI considerations.
• Collaborate with engineering, data, architecture, design, change, and industry teams; support reusable accelerators, demonstrations, reference architectures, and industry solutions.

Qualifications

• At least 10 years of experience in AI, machine learning, data science, advanced analytics, or related technology consulting.
• Client-facing consulting, professional services, technology advisory, or comparable experience, with credibility engaging senior business and technology executives.
• Demonstrated success in opportunity origination, presales, business development, solution selling, or consulting sales.
• Experience shaping complex AI pursuits and expanding strategic client relationships.
• Strong understanding of Generative AI, Agentic AI, enterprise adoption, and AI-enabled processes.
• Executive communication, facilitation, storytelling, presentation, and commercial judgment skills.
• Enterprise AI delivery experience, including practical understanding of architecture, implementation, adoption, governance, and value realization.

Relevant technology experience

• The ideal candidate has credible experience across several areas such as large language models, Agentic AI, multi-agent solutions, and Retrieval-Augmented Generation.
• Relevant areas include AI orchestration, integration, evaluation, observability, security, governance, and Responsible AI.
• Experience may include Microsoft and Databricks AI platforms, Microsoft Fabric, Azure Databricks, copilots, intelligent automation, and workflow agents.
• The role does not require serving as the primary hands-on engineer for every engagement, but requires enough technical depth to challenge approaches and support realistic commitments.

Compensation

• The stated compensation range for British Columbia and Ontario is CAD 177,500 to CAD 210,700; the description does not specify a compensation period.
• The range depends on office location, role, skills, and experience. The posting is intended to fill a new position.