ServiceNow

Sr Advisory Solution Consultant, Workflow Data Fabric and Intelligent Automation

Austin, Texas, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Cloud Computing, Artificial Intelligence, Workflow AutomationIndustries

Requirements

Candidates should have at least 7 years of experience in technical presales, solution architecture, or consulting roles with a proven track record in enterprise-scale data integration and analytics solutions. A strong technical background in data engineering, including hands-on experience with data ingestion tools, ETL processes, data modeling, storage solutions, and analytics platforms is required. Deep familiarity with integration technologies like REST APIs, SOAP, JSON, JDBC, data pipelines, and streaming data platforms is essential. Working knowledge of software development practices and proficiency in programming languages such as JavaScript, Python, or SQL is necessary. Experience with low-code/no-code platforms is needed, and ServiceNow platform certifications are strongly preferred. Experience leveraging or critically thinking about AI integration into work processes is also required.

Responsibilities

The Sr Advisory Solution Consultant will serve as a key technical advisor for ServiceNow’s Workflow Data Fabric, articulating its benefits to stakeholders. They will lead technical discovery sessions to understand customer data integration challenges and translate them into effective ServiceNow-based solutions. Responsibilities include developing robust architectures for data ingestion, transformation, integration, analytics, and insights, and collaborating with sales, product, engineering, and delivery teams. The role involves supporting the presales lifecycle to drive sales targets with tailored data integration solutions and maintaining deep technical expertise on ServiceNow’s Workflow Data Fabric, NowAssist, Agentic AI, and industry trends.

Skills

Data Engineering
Integration
Workflow Data Fabric
NowAssist
Agentic AI
Data Lifecycle
Data Ingestion
Data Transformation
Data Integration
Analytics
Technical Presales
Solution Architecture

ServiceNow

Cloud-based platform for digital workflows

About ServiceNow

ServiceNow offers a cloud-based platform that helps businesses automate and manage their operations, improving efficiency and enhancing customer and employee experiences. The Now Platform includes applications for IT operations, customer service, human resources, and security operations, all accessible over the internet. Targeting large enterprises across various industries, ServiceNow operates on a software-as-a-service (SaaS) model, generating revenue through subscription fees and professional services. The company's goal is to streamline business processes and drive digital transformation for its clients.

Santa Clara, CaliforniaHeadquarters
2004Year Founded
$81.5MTotal Funding
IPOCompany Stage
Consulting, Consumer Software, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Generous family leave
Flexible PTO
Matched Donations
Retirement benefits
Annual learning stipends
Paid volunteer time

Risks

Competitors like Nvidia and Google Cloud may outpace ServiceNow in AI advancements.
Over-reliance on AWS infrastructure could pose risks if AWS changes its strategy.
The departure of Era Software's co-founder may lead to strategic shifts within ServiceNow.

Differentiation

ServiceNow's Now Platform offers comprehensive digital workflow solutions across multiple business functions.
The company focuses on large enterprises, providing tailored solutions for diverse industries.
ServiceNow's SaaS model ensures steady recurring revenue through subscription fees.

Upsides

ServiceNow's partnership with AWS enhances AI-powered workflows, driving enterprise innovation.
The integration with Crowe Cyber Economic Risk Analyzer boosts ServiceNow's cybersecurity capabilities.
ServiceNow's AI-driven campaign with Idris Elba increases brand visibility and engagement.

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