Associate Vice President- Google Cloud Solutions Architect

3 days ago


Bangalore, India Impetus Career Consultants Full time

Job Title: Associate Vice President – Google Cloud Solutions Architect Location: Delhi - NCR/Bangalore/Hyderabad Experience: 13+ years Job Description Minimum Qualifications / Skills 12+ years of progressive experience in data, analytics, artificial intelligence, and cloud technologies, with a strong focus on technical pre-sales, solution architecture, or consulting leadership roles. 8+ years of hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. Deep and demonstrable expertise across the Google Cloud Data & AI stack: Core Data Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. AI/ML Services: Vertex AI (including MLOps, Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow, Recommendation AI. BI & Visualization: Looker, Data Studio. Proven track record of successfully leading and closing multi-million dollar deals involving complex data and AI solutions on cloud platforms. Exceptional executive presence with the ability to engage, influence, and build trusted relationships with C-level executives and senior stakeholders. Strong commercial acumen and experience in structuring complex deals, including pricing models, risk assessment, and contract negotiation. Outstanding communication, presentation, and storytelling skills, with the ability to articulate complex technical concepts into clear, concise business benefits. Demonstrated ability to lead cross-functional teams and drive consensus in dynamic and ambiguous environments. Bachelor's degree in Computer Science, Engineering, or a related technical field. Master's degree or MBA preferred. Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). Ability to travel as required to client sites and internal meetings. Preferred Qualifications/ Skills - Google Cloud Certified – Professional Cloud Developer or DevOps Engineer (preferred) - AI/ML Foundations or Vertex AI certification (advantage) - Excellent stakeholder management and client engagement skills. - Passion for innovation, emerging technologies, and fostering a culture of continuous improvement. - Ability to influence across engineering, delivery, and leadership teams.



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