채용

Senior Data and Analytics Solution Sales Executive - Commercial US West
San Diego
·
On-site
·
Full-time
·
2d ago
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 Commercial US West 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
- 6+ 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, Service Now 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.
For positions in this location, we offer a base pay of $123,300 - $203,450, 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.
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
Service Now 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 globaltalentss@servicenow.com 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now 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.
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 — Service Now 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.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
ServiceNow 소개

ServiceNow
PublicServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.
10,001+
직원 수
Santa Clara
본사 위치
$150B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
3.2
보상
3.8
문화
4.1
커리어
3.4
경영진
3.6
72%
친구에게 추천
장점
Supportive and collaborative team environment
Good training and learning opportunities
Flexible work arrangements
단점
Work-life balance challenges and heavy workload
Fast-paced and stressful environment
Limited growth opportunities in some areas
연봉 정보
56개 데이터
Mid/L4
Senior/L5
Mid/L4 · Business Strategy Specialist
6개 리포트
$122,800
총 연봉
기본급
$106,782
주식
-
보너스
-
$122,800
$123,878
면접 경험
4개 면접
난이도
3.8
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Panel Interview
6
Final Round Interview
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
System Design
뉴스 & 버즈
MASTERINVEST Kapitalanlage GmbH Grows Position in ServiceNow, Inc. $NOW - MarketBeat
MarketBeat
News
·
2d ago
Is ServiceNow (NOW) Quietly Positioning Itself as the Core AI Operating Layer for Enterprises? - simplywall.st
simplywall.st
News
·
2d ago
ServiceNow Stock (NOW) Opinions on AI Disruption and UBS Downgrade - Moomoo
Moomoo
News
·
3d ago
ServiceNow price target lowered to $140 from $185 at TD Cowen - Yahoo Finance
Yahoo Finance
News
·
3d ago




