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.
Job Description
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
- 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.
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 law. In 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 [email protected] 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.
Top Skills
What We Do
As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it).
With more than 8,100+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™.
Explore your future career with us, visit www.servicenow.com/careers.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Why Work With Us
By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.
Gallery
ServiceNow Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.











































