Director of Enterprise Cloud Deployments

This is a fully remote position, open to applicants in Utah.

📋 Description

• Lead, mentor, and develop the technical team in the US, along with associated nearshore and contractor resources.

• Establish clear expectations, provide ongoing coaching, oversee career development, and align individual objectives with the business vision.

• Take ownership of delivery quality across all client engagements.

• Define technical standards and evaluate architectures.

• Ensure that deployments surpass the promised value for clients.

• Offer hands-on delivery support as necessary, while managing and removing obstacles rather than acting as the primary builder.

• Participate in sales cycles after accounts have been sold to identify and secure expansion opportunities.

• Act as the technical authority for reviewing scopes and statements of work (SOWs) prior to client delivery.

• Convert technical strategy into business value for enterprise stakeholders.

• Develop standard operating procedures (SOPs), playbooks, and capacity planning processes.

• Collaborate with Operations, Finance, and the Global Product team on priorities and market insights.

• Drive expansion of recurring revenue, enhance delivery quality and margins, and retain the technical team.

⛳️ Requirements

• Over 6 years of experience in data, cloud, analytics, or AI delivery.

• A minimum of 3 years in leadership and personnel development.

• Proven experience in managing and scaling technical teams, including nearshore or contractor models.

• Technical proficiency in cloud architecture, with a strong preference for GCP.

• Technical expertise in BigQuery and data warehousing.

• Technical knowledge in modern AI/ML, including large language models (LLMs) and generative AI.

• Ability to guide and critically assess architectural decisions.

• Client-facing experience in translating technical strategy into business value for enterprise stakeholders.

• Experience collaborating with sales on scoping, pricing, and finalizing technical engagements.

• Experience in reviewing SOWs for feasibility of delivery.

• Strong understanding of data-as-a-service models and contemporary AI deployment practices.

• Excellent communication skills and executive presence.

• Fluent in English.

• Preferred: experience in a digital marketing agency, data consultancy, or technology services firm serving enterprise clients.

• Preferred: GCP Professional certification or equivalent demonstrated expertise.

• Preferred: familiarity with AEO, GEO, and enterprise AI platforms such as Gemini Enterprise.

• Preferred: hands-on experience with agentic AI tools, such as Claude Code.

• Preferred: background in full-stack development or MLOps.

• Preferred: experience within MarTech/AdTech and the Google marketing ecosystem.

• Preferred: comfort in operating within a matrixed, global organization.

• No employment visa sponsorships will be provided upon hire or in the future.

🏝️ Benefits

• Opportunities for increased earnings over time based on individual and company performance.

• Hybrid/in-office work preferred; fully remote options available across the US for the right candidate.