Director, Enterprise Solutions - Google Cloud

1 month from now
CA > Vancouver
Technology

Job Description

RESPONSIBILITIES

Strategic Leadership & Solution Architecture

Shape and execute the technology vision for enterprise clients on Google Cloud, aligning AI, data, and modernization solutions with business objectives and transformation goals

Lead and personally contribute to the design and architecture of complex, enterprise-level solutions using Gemini Enterprise Agent Platform, Vertex AI, BigQuery, AlloyDB, GKE, and Cloud Run

Provide technical leadership and guidance on architecture best practices, emerging technologies, and industry trends

Design next-generation agentic and generative AI solutions, including RAG pipelines, multi-agent workflows, and Gemini Enterprise implementations

Define architecture strategies that ensure scalability, security, resilience, and long-term value, including composable and API-first approaches where they fit

Client Relationship Management

Act as a trusted technology advisor to client executives and senior stakeholders

Build CFO-ready TCO and ROI models comparing on-premise, multi-cloud, and Google Cloud unit economics

Lead discovery sessions, architecture reviews, solution design workshops, and technical presentations to align stakeholders on solution vision and approach

Proactively identify opportunities to deliver additional value and expand Apply Digital's footprint within accounts

Pre-Sales Leadership & Revenue Growth

Own pre-sales execution for assigned enterprise pursuits, including discovery, solution design, and proof-of-concept (PoC) engagements

Partner with Apply Digital sellers and Google Cloud account teams to co-sell solutions, carrying a personal pipeline generation and revenue influence goal

Produce RFP responses, Statements of Work, and technical proposals with explicit assumptions, bounded scope, and risk frameworks that protect delivery margins

Use modern AI tools to speed up documentation, proposal drafting, and estimation without sacrificing engineering rigor

Google Cloud Ecosystem & GTM Alignment

Build and maintain strong relationships with Google Cloud Partner Engineers, Product Managers, and Field Sales to maximize joint deal routing and co-sell priority

Contribute to and participate in Quarterly Business Reviews and joint account planning to align Apply Digital's offerings with Google Cloud's strategic priorities, such as Data, Generative AI, and Modernization

Represent Apply Digital at Google Cloud Next, industry events, webinars, and partner panels

Solution Productization & Practice IP

Identify high-value patterns across engagements and help package them into repeatable offerings, accelerators, reference architectures, and pricing models

Develop reusable estimation models, discovery frameworks, and PoC templates that raise the technical output of the broader team

Help build and grow Apply Digital's internal Google Cloud community of practice

Technical Delivery & Project Oversight

Provide delivery leadership for the Google Cloud engagements you shape, ensuring they meet client requirements, quality standards, and business outcomes

Guide technical teams through complex implementation challenges and ensure adherence to Google Cloud best practices

Team Leadership & Development

Mentor and coach junior and mid-level architects on technical design, ecosystem navigation, and commercial pre-sales discipline

Support Google Cloud certification and delivery enablement across the technology team

Contribute to hiring, onboarding, and retention of top Google Cloud talent

REQUIREMENTS

10+ years of experience in cloud architecture, enterprise solution architecture, or technical consulting in a professional services environment, with at least 2 years in a leadership role

3+ years of dedicated experience in the Google Cloud ecosystem in a customer- and partner-facing capacity

Google Cloud Professional Cloud Architect certification

Proven pre-sales track record, including shaping complex technical deals, writing SOWs, and partnering with sales teams to hit revenue targets

Proven track record of successfully delivering complex solutions for large-scale enterprise clients

Experience working in digital agencies, strategic consultancies, or systems integrators delivering client-facing solutions

Deep, hands-on expertise in modern cloud architectures, database systems (BigQuery, AlloyDB, Cloud Spanner), and containerization platforms (GKE, Cloud Run)

Hands-on production experience with modern AI stacks, such as Vertex AI, Gemini Enterprise, agentic workflows, or RAG pipelines

Ability to build CFO-ready TCO and ROI models

Excellent communication skills with the ability to engage executives, technical stakeholders, and Google Cloud partner teams

Experience mentoring and developing technical team members

Demonstrated ability to manage multiple high-stakes pursuits and client relationships at once

Entrepreneurial mindset with comfort navigating ambiguity and solving complex problems

Nice to Have

Additional Google Cloud certifications (Professional Data Engineer, Professional Cloud DevOps Engineer, or Professional Machine Learning Engineer)

Deep understanding of Gemini Enterprise, Gemini Enterprise Agent Platform, Gemini Enterprise for Customer Experience, and Google's generative media offerings

Vertical experience in CPG, Retail, Media, or Entertainment

Experience with commerce platforms, content management systems, and digital experience platforms

Knowledge of agile methodologies and experience leading agile delivery teams

Public speaking experience and thought leadership contributions to the technology or Google Cloud community

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