Head of Technology Agentic Platform, Americas

About the role

Datatonic, Google Cloud's partner in AI, is looking for a Head of Technology Agentic Platform for its Americas division. You will own the design and delivery of enterprise-scale Google Cloud platforms for clients, covering landing zones, data platforms, MLOps and integrated Data & AI platforms. The role is fully remote and open to candidates located anywhere in Canada.

Key responsibilities

• Own reference architectures for Google Cloud landing zones, data platforms (BigQuery, Knowledge Catalog, Looker), MLOps (Gemini Enterprise Agent Platform) and Data & AI platforms, keeping them secure, governed and scalable.
• Build and evolve reusable platform templates (infrastructure-as-code modules, CI/CD pipelines, data product and agent blueprints) and drive their adoption.
• Define standards, patterns and guardrails, and lead enablement (playbooks, training, developer experience) so client teams can build independently.
• Set up capabilities to deploy data products and AI agents at scale: automated deployment, environment management, data contracts, evaluation, testing, observability, security and governance.
• Design consumption layers for people and machines: semantic layers, BI/reporting tools, APIs and MCP servers.
• Design and deploy agents that run the platform (incident triage, cost anomaly detection, access requests, policy drift, routine tasks).
• Embed FinOps (cost allocation, forecasting, unit economics) and build telemetry linking platform cost to business value and ROI.
• Lead client conversations, scope builds and presentations, and deliver business outcomes and platform-related revenue.

Required profile

• Deep, hands-on experience designing and delivering Google Cloud landing zones, data platforms, MLOps and Data & AI platforms in production.
• Experience scaling data products and AI agents from prototype to production, with deployment automation, evaluation, monitoring and governance.
• Understanding of semantic layers, BI tooling, APIs and agent interfaces such as the Model Context Protocol (MCP).
• Experience with agents for operations (e.g. Vertex AI / Agent Development Kit) or a strong point of view.
• Experience implementing FinOps frameworks and observability tied to cloud spend and ROI.
• Strong grounding in cloud security, identity, networking, infrastructure-as-code (e.g. Terraform), CI/CD and production operations.
• Preferred: hands-on GCP experience, background in high-growth startups or modern enterprise transformation, and Google Cloud Professional certifications (Cloud Architect, Data Engineer, Machine Learning Engineer).

What we offer

• 20 days of paid vacation per year, public holidays, 5 wellness days and 5 lifestyle days.
• Group retirement savings plan after 3 months and group insurance on day 1.
• Virtual medicine and family assistance program, home office budget, and a company-supplied MacBook Pro or Air.
• CAD $70/month for internet/phone, CAD $1,500 every 3 years for tech accessories, and CAD $400/year for books and subscriptions.
• Opportunities for paid certifications, off-sites and meetups.