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Data & AI Technical Advisor - Google Cloud

Job in Beaverton, Washington County, Oregon, 97078, USA
Listing for: Atos
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

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, Big Query 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, boiler plates, 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 (Big Query, 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 through blogs, speaking engagements, or community contributions.
  • Experience with AI agent orchestration (Agentspace) and generative AI solutions using Gemini models.
Why Join Us?
  • Be part of a global leader driving AI-powered transformation.
  • Work at the intersection of innovation and execution, influencing strategic partnerships.
  • Access continuous learning and career development opportunities.
  • Contribute to Atos’ commitment to ESG leadership and diversity.

Choose your future. Choose Atos.

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