Senior Data & Analytics Solution Sales Executive - Financial Markets

ServiceNow•New York, NY
•$139,400 - $230,000

About The Position

The Senior Data & Analytics Solution Sales Executive (SSE) is an experienced sales role focused on transforming customers’ businesses through AI, data, and analytics. The SSE helps shape ServiceNow’s Data & Analytics business and delivers insight-to-action use cases on the ServiceNow AI Platform. The role requires the ability to lead discovery, use value-based selling, and demonstrate how solutions can deliver measurable business outcomes tied to customer priorities. Working as a co-prime with the core account executive, the SSE leads end-to-end sales cycles and owns the Data & Analytics portfolio across assigned accounts. The role develops strategic account plans, presents and demos solutions, and builds relationships with data, analytics, technology, and business executives. The focus includes expanding business with existing ServiceNow customers and supporting their AI, real-time analytics, and data strategies. The position offers a base pay of $139,400–$230,000, plus equity when applicable, variable or incentive compensation, and benefits. Sales positions generally use an On Target Earnings incentive structure. Compensation varies based on qualifications, skills, competencies, and work location. The role is categorized as flexible or remote, depending on assigned work location and eligibility.

Requirements

  • At least 5 years of field sales experience, with an emphasis on Data & Analytics sales; AI-adjacent solutions experience is preferred.
  • Technical fluency in AI, data, and analytics sufficient to present, demo, and lead credible discovery, value positioning, and use-case identification with executives, ServiceNow platform owners, and Data & Analytics leaders.
  • Experience selling analytics or business intelligence products, such as Tableau, ThoughtSpot, Power BI, Qlik, or Oracle Analytics, or credible depth in modern data platforms, cloud data warehousing, data integration, data management, and governance.
  • Experience with consumption-based models and driving growth after the initial sale.
  • Self-starter who is hands-on and comfortable operating in a fast-paced, matrixed product, sales, and go-to-market environment.
  • Excellent communication and relationship-building skills with technical and business stakeholders.
  • Track record of multi-threading accounts, including developing a second buyer or influencer alongside the primary buyer.

Nice To Haves

  • Experience selling Databricks, Snowflake, Microsoft Fabric, Palantir, Salesforce Data 360, Informatica, or Boomi, and a strong understanding of the broader data market.
  • Experience with the ServiceNow ecosystem, platform, use cases, and target buyers.
  • Experience selling packaged, pre-built line-of-business analytics products, such as sales, customer service, or HR analytics.

Responsibilities

  • Lead end-to-end Data & Analytics sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
  • Own and sell the full Data & Analytics portfolio—including Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics—across assigned accounts.
  • Develop strategic Data & Analytics account plans that position ServiceNow solutions as foundational to customers’ AI, real-time analytics, and data strategies, with a focus on new business with existing ServiceNow customers.
  • Lead discovery, value-based conversations, technical presentations, and demos with data, analytics, and AI leaders to uncover priorities and pain points and advance AI-ready data modernization initiatives.
  • Develop relationships with customer technology and data executives, including Chief Data and Analytics Officers, and leaders in data engineering, data governance, and analytics, as well as ServiceNow platform owners and CIOs.
  • Increase customer awareness and influence for ServiceNow Data & Analytics solutions.

Benefits

  • Health plans
  • Flexible spending accounts
  • 401(k) Plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Matching donations
  • Flexible time away plan
  • Family leave programs
  • Equity, when applicable
  • Variable/incentive compensation
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