Data and Analytics Sr Sales Executive

ServiceNow
United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$139,400 - $195,000
Working hours
Regular working hours
Job source

Tech stack

Training Data Artificial Intelligence Data Analysis Information Engineering Data Governance Data Integration HR Analytics Power BI Tableau (Software) Multithreading Microsoft Fabric Oracle Service Cloud
+3 more
Data Analytics Qlikview Servicenow

Job description

  • 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 Analytics.
  • Develop strategic D&A account plans that position ServiceNow D&A 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 demos with data, analytics and AI leaders to uncover priorities, pain points and AI-ready data modernization opportunities.
  • Build relationships with technical and data executives up to CDAO level, as well as data engineering, data governance, analytics, the ServiceNow Platform owner and CIO., We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service., For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Requirements

  • 5+ years of field sales experience, preferably with an emphasis on D&A sales or AI-adjacent solutions.
  • Technical fluency in AI, Data and Analytics, including the ability to present, demo and lead credible discovery, value positioning and use-case identification.
  • Experience selling analytics or BI solutions such as Tableau, ThoughtSpot, Power BI, Qlik or Oracle Analytics, plus credible depth in cloud data warehousing, data integration and governance.
  • Experience with consumption-based models and driving growth after the first sale.
  • A self-starter, hands-on and thought-leader mindset, with comfort operating in a fast-paced, matrixed product, sales and GTM environment.
  • Excellent communication and relationship-building skills across technical and business stakeholders.
  • A track record of multi-threading accounts, including developing a second buyer or influencer alongside the primary buyer.
  • 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.

Benefits & conditions

For positions in this location, we offer a base pay of $139,400 - $195,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

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