Data Cloud Sales Specialist, Financial Services, Google Cloud

About the job

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 be a master of value-selling in regulated environments. You will engage with Line of Business leaders, CDOs, CAIOs, CROs, and CFOs to address critical industry priorities—including fraud detection, quantitative risk modeling, regulatory compliance, and customer intelligence. You will construct compelling business cases (e.g., quantifying ROI/TCO reduction) demonstrating the value of modernizing legacy financial data estates on GCP.

Additionally, you will guide technical and governance stakeholders, positioning Google Cloud's Data Cloud suite (e.g., BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premier platform for enterprise AI. You will showcase how unified, compliant data foundations power secure, hallucination-free AI agents, automated reporting, and real-time transaction processing.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits

Learn more about

benefits at Google.

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 infosec evaluations from discovery to commercial close.
• Engage 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.
• Collaborate cross-functionally with FSRs, specialized Customer Engineers, and key FSI strategic ecosystem partners (e.g., Global System Integrators and Independent Software Vendor (ISVs) to execute co-sell motions and drive enterprise-wide platform standardization.
• Whiteboard modern architectures (e.g., BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.

Minimum qualifications:

• 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 (e.g., Banking, Capital Markets, Wealth Management, FinTech, or Insurance).
• Experience building business cases through workshops or product demos to business executives.
• Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Preferred qualifications:

• 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 specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
• Practical familiarity with financial services regulatory environments, data sovereignty mandates, and compliance frameworks (e.g., SEC, FINRA, DORA, PCI-DSS, Basel III/IV, SOX).