Director, Google Gemini Enterprise, Data & Ai

Job DescriptionToast is recruiting on behalf of one of the world's largest professional services firms, with thousands of people across Canada advising organizations on audit, tax, and advisory work. Their Data & AI practice is one of the fastest growing parts of the firm, driven by strong demand from clients across sectors who want to modernize their data platforms and put AI to work at scale. They are looking for a Director to lead the growth and delivery of Google Gemini Enterprise solutions, owning client engagements from AI strategy through to enterprise-wide implementation while working closely with Google Cloud to build and take joint offerings to market.
Job DescriptionToast is recruiting on behalf of one of the world's largest professional services firms, with thousands of people across Canada advising organizations on audit, tax, and advisory work. Their Data & AI practice is one of the fastest growing parts of the firm, driven by strong demand from clients across sectors who want to modernize their data platforms and put AI to work at scale. They are looking for a Director to lead the growth and delivery of Google Gemini Enterprise solutions, owning client engagements from AI strategy through to enterprise-wide implementation while working closely with Google Cloud to build and take joint offerings to market.
Responsibilities
Act as a trusted advisor to senior client stakeholders, including CIOs, CTOs, CDOs, and CFOs, guiding their AI transformation agendas
Lead AI strategy engagements, including maturity assessments, Gemini Enterprise roadmaps, and operating model and governance design
Translate complex business challenges into clear AI-enabled opportunities and value cases
Architect end-to-end Gemini Enterprise solutions covering data integration and grounding, agentic workflows, and security and compliance frameworks
Provide technical oversight across data, AI/ML, and cloud engineering teams to keep delivery cohesive
Advise on scalable deployment models and enterprise integration with ERP, CRM, and collaboration platforms
Lead large-scale AI programs from pilot through enterprise rollout, owning quality, timelines, and value realization
Build reusable assets and accelerators, such as use cases, reference architectures, and deployment playbooks, to scale delivery
Build and manage strategic relationships with Google Cloud, aligning client needs with product roadmap evolution
Co-develop joint solutions and go-to-market offerings with partners and contribute to capability development
Support business development and complex pursuits, including solution shaping, proposals, and pricing models
Present Gemini Enterprise solutions to executive audiences, turning technical concepts into clear business narratives
Drive client-facing storytelling on agentic AI, productivity gains, and ROI
Contribute to thought leadership and market positioning in AI transformation
Requirements
10+ years in consulting, technology, or AI/data leadership roles
Proven track record delivering enterprise AI or cloud transformation programsExpertise in enterprise AI architecture and design
Strong expertise in generative AI and LLMs, enterprise data architecture, and cloud platforms, with experience on GCP considered an asset
Experience engaging and influencing C-suite stakeholders
Ability to shape, position, and close complex deals
Demonstrated success contributing to business development and revenue growth
Experience with the Google Cloud ecosystem and strategic alliances
Exposure to AI agents, agentic workflows, and enterprise AI governance frameworks
Track record building repeatable consulting offerings and intellectual property
Benefits
Compensation listed on the posting is for base salary only. Total salary includes base salary + annual bonuses.
Comprehensive Total Rewards program
Lead a flagship Google Gemini Enterprise practice inside one of the fastest growing teams at the firm
Shape how major Canadian organizations across sectors adopt generative and agentic AI, moving them from pilot projects to enterprise-wide rollouts
Work directly with Google Cloud to influence product roadmaps and build joint offerings that reach clients across the country
Build the playbooks, reference architectures, and IP that will define how the firm delivers AI transformation for years to come
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