Senior Data and Analytics Solution Sales Executive TelcoMediaTech

Role Overview

We are seeking a strategic and technically fluent Enterprise Data & Analytics Solution Sales Specialist to drive pipeline revenue and platform adoption for our data analytics and AI solutions across complex enterprise accounts.

This role exists at the intersection of business strategy data architecture and enterprise selling. Operating within a highly multi-matrixed organization the specialist will collaborate across Sales Product Industry GTM Engineering Customer Success and Partner teams to shape transformational deals align stakeholders and accelerate customer outcomes.

Key Responsibilities

Data & Analytics Solution Leadership

• Own solution strategy for enterprise data platforms analytics AI/ML and data governance offerings across assigned accounts or regions.
• Partner with Account Executives to engage strategic customers and position data and analytics as a core enabler of digital transformation.
• Drive value-based selling by connecting business outcomes to modern data platform capabilities such as data fabric data mesh real-time analytics and operational intelligence.

Multi-Matrix Orchestration

• Operate as a solution overlay across a complex internal ecosystem including:
  • Field Sales & Account Executives
  • Solution Engineers
  • Industry GTM & Vertical Specialists
  • Product & Platform Leaders
  • Data Scientists & AI Specialists
  • Customer Success & Professional Services
• Influence and align stakeholders without direct authority across business units with shared or overlapping revenue targets.
• Coordinate technical and business resources to drive consistent execution across multi-product cross-BU opportunities.

Data Strategy & Executive Engagement

• Lead strategic conversations with C-level and senior executive stakeholders on topics such as:
  • Enterprise data strategy and modernization
  • Data governance quality and trust
  • AI-readiness and analytics transformation
  • Data operating model evolution (e.g. centralized vs federated mesh vs fabric)
• Help customers define roadmaps for scaling data usage maximizing ROI and aligning data strategy with business priorities.

Deal Shaping & Pipeline Development

• Shape and influence large complex data and analytics deals by:
  • Identifying high-impact use cases
  • Mapping value to business KPIs
  • Aligning architecture and solution scope
  • Defending commercial position in competitive scenarios
• Drive pipeline through industry events executive briefings workshops and targeted campaigns.

Product Feedback & Field Enablement

• Provide structured field feedback into product and go-to-market strategy teams.
• Develop solution plays messaging and enablement materials to scale success across the field.
• Support internal enablement and training for AEs and Solution Engineers on data and analytics offerings.

Qualifications :

Required Qualifications

• 812 years in enterprise software solution sales consulting or data/analytics technology roles.
• Proven success selling or consulting on data platforms analytics solutions or enterprise data transformation initiatives.
• Deep understanding of enterprise data concepts: data platforms warehousing data lakes real-time streaming data governance and advanced analytics.
• Experience operating across multi-matrixed teams and navigating shared ownership sales models.
• Strong executive communication and business storytelling skills.
• Ability to connect technical architecture concepts to business outcomes and economic impact.
• Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.

Preferred Qualifications

• Experience with enterprise data platforms (e.g. Snowflake Databricks BigQuery ServiceNow Data Microsoft Fabric etc.).
• Hands-on exposure to data governance interoperability and data integration strategies.
• Familiarity with AI/ML predictive analytics and GenAI enablement within data ecosystems.
• Background in digital transformation consulting or enterprise architecture.

Additional Information :

Work Personas

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.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

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. 

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. 

Remote Work :

No

Employment Type :

Full-time