About The Position

The Senior Data & Analytics Solution Sales Executive (SSE) is an experienced sales role focused on helping financial markets customers transform their businesses through AI, Data and Analytics. The SSE shapes ServiceNow’s Data & Analytics business and delivers customer-specific Insight to Action use cases on the ServiceNow AI Platform. The role calls for technical fluency and the ability to lead discovery, demonstrate solutions, and use value-based selling to connect customer priorities with measurable business outcomes. The SSE partners with core account executives to lead end-to-end sales cycles, owns the Data & Analytics portfolio across assigned accounts, and develops strategic account plans. The role works with customer technology and data executives—including Chief Data and Analytics Officers—as well as data engineering, governance, analytics, platform, and CIO stakeholders. The emphasis is on growing business with existing ServiceNow customers and positioning ServiceNow solutions as foundational to customers’ AI, real-time analytics, and data strategies.

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 and demonstrate solutions, lead credible discovery, position value, and identify use cases 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 first sale.
  • Self-starter mindset; hands-on thought leader 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.
  • Experience selling packaged, pre-built line-of-business analytics products, such as sales, customer service, or HR analytics.

Nice To Haves

  • Experience selling AI-adjacent solutions.
  • 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 within existing ServiceNow customers.
  • Lead discovery, value-based conversations, technical presentations, and demonstrations with data, analytics, and AI leaders to uncover priorities and pain points and advance AI-ready data modernization initiatives.
  • Build relationships with customer technology and data executives, including Chief Data and Analytics Officers, and with leaders in data engineering, data governance, and analytics, as well as ServiceNow platform owners and CIOs.
  • Identify customer-specific use cases and deliver measurable business outcomes through value-based selling.
  • Drive growth after the initial sale, including in consumption-based models.

Benefits

  • Health plans, including 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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