Senior Data & Analytics Solution Sales Executive - Energy

ServiceNow•San Diego, CA

3h•$125,450 - $186,600

About The Position

The Data & Analytics Solution Sales Executive is an experienced sales role focused on transforming customer businesses through AI, data, and analytics. The role shapes ServiceNow’s Data & Analytics business by developing customer-specific use cases that deliver insight to action on the ServiceNow AI Platform. The executive leads discovery, applies value-based selling, and presents and demonstrates ServiceNow Data & Analytics solutions to help customers invest and achieve measurable business outcomes. The executive serves as a co-prime with the core account executive, leading end-to-end sales cycles and ongoing adoption across assigned accounts. They own and sell ServiceNow’s Data & Analytics portfolio, develop strategic account plans, and build relationships with customer technology and data executives. The role focuses on expanding business with existing ServiceNow customers and positioning the solutions as foundational to customers’ AI, real-time analytics, and data strategies. The position is described as flexible or remote; current location in Southern California or the Carolinas is strongly preferred.

Requirements

At least 5 years of field sales experience, with an emphasis on Data & Analytics sales or AI-adjacent solutions preferred.
Technical fluency in AI, data, and analytics sufficient to present, demonstrate, 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, 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 with a hands-on, thought-leader approach, comfortable working 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 one.

Nice To Haves

Current location in Southern California or the Carolinas is strongly preferred.
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 analytics, customer service analytics, or HR analytics.
Experience selling analytics or BI products such as Tableau, ThoughtSpot, Power BI, Qlik, or Oracle 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, focusing on new business with 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.
Develop relationships with customer technology and data executives, including Chief Data and Analytics Officers, data engineering, data governance, and analytics leaders, as well as the ServiceNow platform owner and CIO.
Build awareness and influence for ServiceNow Data & Analytics solutions among customer stakeholders.
Drive growth after the initial sale in consumption-based models.
Develop multiple account relationships, including a second buyer or influencer alongside the primary buyer.