Data & AI Technical Advisor - Google Cloud
AtosAbout the role
NA Data & AI Technical Advisor – Google Cloud
Location: North America (Remote)
Role Type: Full-Time
Reports To: Head of Data and AI Technical Advisory, North America
Role Mission
Accelerate client transformation through Google Cloud Data & AI solutions by forging strategic partnerships and delivering scalable architectures that solve real business challenges.
Role Overview
As a Google Cloud Technical Advisor – Data & AI, North America, you will act as a trusted advisor and thought leader, driving innovation, enabling internal teams, and ensuring seamless integration of Google Cloud’s advanced Data & AI capabilities, including Vertex AI, Gemini models, BigQuery and Agentspace, into client solutions.
You will directly influence Atos’ Data & AI strategy across North America, accelerate market penetration, and drive growth and revenue by shaping go-to-market initiatives, enabling co-sell motions with Google Cloud, and creating differentiated solutions that win strategic deals. This role requires a blend of technical depth, strategic leadership, and relationship-building skills to work cross-functionally with Alliance, Data & AI Delivery, Pre-Sales, Learning & Development, and Marketing teams.
Key Responsibilities
Technical Expertise & Certification:
-
Maintain advanced Google Cloud Data & AI certifications
-
Stay ahead of Google Cloud Data & AI product releases, roadmap updates, and partnership programs
Sales Alignment:
-
Act as technical advisor in pre-sales involving Google Cloud Data & AI
-
Design solution demos, PoCs, and compelling value stories leveraging Google Cloud Data & AI solutions
-
Ensure compliance with Google Cloud co-sell requirements and funding programs
Internal Enablement:
-
Define and execute certification strategy and enablement programs on Google Cloud Data & AI solutions within North America
Delivery Support:
-
Support seamless handoff from pre-sales to delivery teams for Google Cloud Data & AI projects
-
Gather feedback from delivery to refine future implementations
-
Ensure adherence to Google Cloud best practices and reference architectures for AI workloads
Asset Development:
-
Build and maintain Google Cloud Data & AI reference architectures, boilerplates, and templates
-
Codify repeatable solutions within Data and AI
-
Collaborate with Delivery, Marketing, and Alliance teams on case studies, white papers, and thought leadership
Partnership Engagement:
-
Act as liaison between Atos Data & AI Business Line, Atos Alliances, and Google Cloud partnership teams
-
Represent Atos at Google Cloud events, conferences, and advisory councils
Track and Report On:
-
Google Cloud Data & AI certifications and enablement status within Atos North America
-
Google Cloud Data & AI-aligned revenue
-
Use case wins and customer success stories
What We’re Looking For
-
Sense of Agency: Ability to take ownership and drive initiatives independently.
-
Strategic Leadership: Experience in shaping and executing Google Cloud Data & AI strategies.
-
Technical Depth: Strong expertise in Google Cloud Data & AI services (BigQuery, Vertex AI, Looker, Gemini, Agentspace).
-
Soft Skills: Exceptional communication and relationship-building skills.
-
Cross-Functional Collaboration: Proven ability to work across multiple teams and stakeholders.
-
Detail Orientation: Meticulous approach to solution design and execution.
Preferred Qualifications
-
8+ years in technical advisory, solution architecture, or similar roles.
-
Hands-on experience with Google Cloud Data & AI services, cloud-native architectures, and modern data ecosystems.
-
Familiarity with Google Cloud partner programs, co-sell motions, and funding mechanisms.
-
Thought leadership demonstrated throu
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s