Google

Runs Search and YouTube and builds Gemini AI

Data Cloud Sales Specialist - Financial Services

Account ExecutivePosted on Nov 13

Full-timeNew York, NY, USAIn-person

About the Job

Requirements

A bachelor's degree or equivalent practical experience.
At least 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 organizations.
Experience building business cases through workshops or product demonstrations for business executives.
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or artificial intelligence and machine learning.

Responsibilities

Deliver against quota and exceed strategic business growth goals across designated financial services accounts.
Drive net-new greenfield customer acquisitions and expand the 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 through 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 artificial intelligence capabilities to quantified business outcomes.
Collaborate cross-functionally with Field Sales Representatives, specialized Customer Engineers, and financial services strategic ecosystem partners, including Global System Integrators and Independent Software Vendors, to execute co-sell motions and drive enterprise-wide platform standardization.
Present modern architectures, including BigQuery, Spark, Spanner, and AlloyDB, to demonstrate how unified data foundations power high-performance, hallucination-free artificial intelligence agents.
Drive Google Cloud data and artificial intelligence growth across major financial institutions, including banking, capital markets, insurance, and fintech organizations.
Secure net-new customers and identify untapped, mission-critical workloads, partnering with Field Sales Representatives, Customer Engineers, and partners to establish long-term data platform standardization on Google Cloud Platform.
Engage line-of-business leaders, Chief Data Officers, Chief AI Officers, Chief Risk Officers, and Chief Financial Officers to address industry priorities including fraud detection, quantitative risk modeling, regulatory compliance, and customer intelligence.
Construct business cases, including quantified return on investment and total cost of ownership reduction, to demonstrate the value of modernizing legacy financial data estates on Google Cloud Platform.
Guide technical and governance stakeholders, positioning the Google Cloud Data Cloud suite, including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB, as a platform for enterprise artificial intelligence.
Showcase how unified, compliant data foundations support secure, hallucination-free artificial intelligence agents, automated reporting, and real-time transaction processing.

Desired Qualifications

Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or generative artificial intelligence platforms against legacy or other proprietary enterprise systems.
Experience working with Global System Integrators, hyperscalers, or Independent Software Vendors to co-sell and accelerate pipeline.
Experience closing large-scale data and artificial intelligence transformation deals within regulated or high-growth enterprise verticals such as financial services, healthcare and 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.

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).

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.

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.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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