Senior Data And Analytics Solution Sales Executive - Telco/media/tech

Enterprise Data & Analytics Solution Sales Specialist

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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.

Required Qualifications

8-12+ 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 AI's 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.