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About the Role
The Data & Analytics Solution Sales Executive (SSE) is a sales role for experienced data and analytics sellers who can transform a customer’s business through AI, Data and Analytics. You will shape ServiceNow’s D&A business and work on transformational use cases to deliver Insight to Action on the ServiceNow AI Platform. This role requires leading discovery sessions, leveraging value-based selling, and delivering measurable business outcomes.
Responsibilities
- Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
- Own and sell the full D&A portfolio (Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics) across assigned accounts.
- Develop strategic D&A account plans to position ServiceNow D&A solutions as foundational to a customer’s AI, real-time analytics, and data strategy 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, pain points, and accelerate AI ready data modernization initiatives.
- Develop relationships with customer technology and data executives, including those at the Chief Data and Analytics Officer (CDAO) level, as well as leaders in data engineering, data governance, and analytics, in addition to the ServiceNow platform owner and CIO, to increase awareness and influence.
Requirements
- 5+ years of field sales experience with an emphasis on D&A sales, or AI-adjacent solutions preferred.
- Technical fluency in AI, Data and Analytics, to be able to present, demo and lead credible discovery, value positioning, and use case identification with executives, ServiceNow platform owners, and Data and Analytics leaders.
- Experience selling analytics or BI (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 selling Databricks, Snowflake, Microsoft Fabric, Palantir, Salesforce Data 360, Informatica, or Boomi, as well as a strong understanding of the broader data market, is an advantage.
- Experience with consumption-based models and driving growth after the first sale.
- Experience with the ServiceNow ecosystem, platform, use cases and target buyers is a huge plus.
- A self-starter mindset, hands-on, thought leader that is comfortable operating in a fast paced matrixed, product, sales, and GTM environment.
- Excellent communication and relationship-building skills across both technical and business stakeholders.
- Track record of multi-threading accounts, including developing a second buyer or influencer alongside the primary one.
- Experience selling the value of packaged pre-built line of business specific analytics products such as sales analytics, customer service analytics, HR analytics etc. is a plus.
Skills
- AI
- Data and Analytics
- Value-based selling
- Salesforce Data 360
- Databricks
- Snowflake
- Microsoft Fabric
- Palantir
- Informatica
- Boomi
- Tableau
- ThoughtSpot
- Power BI
- Qlik
- Oracle Analytics
- Modern data platforms
- Cloud data warehousing
- Data integration
- Data management
- Data governance
- Consumption-based models
- ServiceNow ecosystem
- ServiceNow platform
- ServiceNow use cases
- Sales analytics
- Customer service analytics
- HR analytics
Location
- AMS - North America and Canada
Work Type
- Flexible
- Remote
Experience Level
- 5+ years of field sales experience
About the Company
- ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
Equal Opportunity
- ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.