Data Cloud Sales Specialist, Financial Services, Google Cloud

Google•New York, NY
•$138,000 - $200,000

About The Position

As a Data Cloud Sales Specialist for Financial Services, you will drive Google Cloud's data and AI growth across major financial institutions, including banking, capital markets, insurance, and fintech. You will secure net-new greenfield logos and identify untapped, mission-critical workloads, partnering with Field Sales Representatives, Customer Engineers, and Partners to establish long-term data platform standardization on GCP. You will engage with business leaders and executives, including Line of Business leaders, CDOs, CAIOs, CROs, and CFOs, to address industry priorities such as fraud detection, quantitative risk modeling, regulatory compliance, and customer intelligence. You will develop business cases, including quantified ROI and TCO reduction, to demonstrate the value of modernizing legacy financial data estates on GCP. You will guide technical and governance stakeholders and position Google Cloud's Data Cloud suite—including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB—as a platform for enterprise AI. You will demonstrate how unified, compliant data foundations support secure, hallucination-free AI agents, automated reporting, and real-time transaction processing.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 10 years of quota-carrying enterprise sales experience.
  • Experience selling data, cloud, or enterprise software solutions directly to Financial Services institutions, such as banking, capital markets, wealth management, fintech, or insurance.
  • Experience building business cases through workshops or product demos for business executives.
  • Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Nice To Haves

  • Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
  • Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
  • Experience closing large-scale data and AI transformation deals within regulated or high-growth enterprise verticals, such as Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing.
  • Practical familiarity with financial services regulatory environments, data sovereignty mandates, and compliance frameworks, such as SEC, FINRA, DORA, PCI-DSS, Basel III/IV, and SOX.

Responsibilities

  • Deliver against quota and exceed strategic business growth goals across designated Financial Services accounts.
  • Drive net-new greenfield logos and expand data footprint within existing tier-1 and regional institutions through proactive campaigns.
  • Orchestrate complex, multi-threaded business cycles in regulated environments, navigating compliance, data sovereignty, and information security evaluations from discovery to commercial close.
  • Engage business leaders, including Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers, through value-selling that ties modern data and AI capabilities to quantified business outcomes.
  • Collaborate with Field Sales Representatives, specialized Customer Engineers, and Financial Services ecosystem partners, including Global System Integrators and ISVs, to execute co-sell motions and drive enterprise-wide platform standardization.
  • Whiteboard modern architectures, such as BigQuery, Spark, Spanner, and AlloyDB, to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.

Benefits

  • Equity
  • Benefits
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