Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in delivery and developing customer-facing services Data and AI programs, leading engineers and aligning with business stakeholders and executive leadership.
• Ability to communicate in English and French fluently to support client relationship management in this region.
• Ability to travel 20% of the time as required.

Preferred qualifications:

• Experience implementing large-scale cloud or software projects in corporate environments.
• Knowledge in cloud architecture with experience across a range of enterprise use cases.
• Understanding of modern application migration and modernization approaches.
• Excellent organizational, problem-solving and influencing skills

About the job

As a Data and AI Architect, you will work with Google's customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions via Google's Cloud Platform. You will provide directional data strategy across people, process and technology

You will also work with key Google partners currently servicing top accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise. Travel will be around 30% of client engagements.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with customer technical leads, client executives, and partners to architect, manage and deliver implementations of data and AI cloud solutions, becoming a trusted advisor to decision-makers throughout the engagement.
• Work with internal specialists, product, and engineering teams to consolidate best practices and lessons learned into thought leadership, methodologies, and solution
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes.
• Propose solution architectures and manage the deployment of cloud based Data and AI solutions according to customer requirements and implementation best practices, support consultancy pre sales teams via architectural discussions and design workshops.