Data & Analytics AI Solutions Sales Executive — Remote

ServiceNow

United States

Hybrid

USD 125,000 - 187,000

Full time

2 days ago

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Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Job summary

ServiceNow is seeking a Sr. Solution Sales Executive for Data & Analytics (CPG - WEST) to drive AI-enabled data initiatives.

You will work with customer executives to shape adoption of the D&A portfolio and deliver measurable business outcomes. You will lead discovery, build compelling value propositions, and present cross-functional solutions across data platforms, governance, and analytics to accelerate modernization at scale.

Qualifications

5+ years of field sales experience in D&A or AI-adjacent solutions.
Technical fluency in AI, Data and Analytics to present, demo and lead credible discovery with executives.
Experience selling analytics or BI tools (Tableau, ThoughtSpot, Power BI, Qlik, Oracle Analytics).
Experience selling Databricks, Snowflake, Microsoft Fabric, Palantir, Salesforce Data 360, Informatica, or Boomi.
Experience with consumption-based models and driving growth after the first sale.
Experience with the ServiceNow ecosystem and GTM.
Excellent communication and relationship-building skills across technical and business stakeholders.

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 your 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 and accelerate AI-ready data modernization initiatives.
Develop relationships with customer technology and data executives, including CDAO level, as well as CIO and data leaders, to increase awareness and influence.