Data Cloud Sales Specialist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Business Intelligence · Data Engineering

In short

Google Cloud is seeking a Data Cloud Sales Specialist to drive growth in data and AI solutions. This role involves securing new clients, partnering with sales teams and customers to build business cases, and positioning Google Cloud's data and AI platforms to business and technical leaders. The position is based in Mumbai, India.

Responsibilities

Deliver against quota and achieve or exceed strategic business and growth goals.
Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
Engage line of business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern data and AI capabilities to quantified business outcomes.
Align cross-functionally with FSRs and partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.

Requirements

Bachelor's degree or equivalent practical experience.
7 years of experience in quota-carrying enterprise sales.
Experience building business cases through workshops or product demos to business executives.
Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Desired Qualifications

Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
Experience closing large-scale data and AI transformation agreements within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.

Skills

GCPBigQueryKnowledge CatalogSpannerAlloyDBAIData ManagementAnalyticsMachine LearningCloudData Governance

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