Remote Advisory Solution Consultant - Data Fabric & AI

Servicenow; San Diego (CA); On-site; USD 166,000 - 274,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Job summary

ServiceNow is seeking a Sr Advisory Solution Consultant to lead technical presales around data engineering and integration. You will craft demonstrations, proofs of concept, and architectures leveraging Workflow Data Fabric, NowAssist, and Agentic AI to showcase value to customers.

You will drive discovery with customers, translate requirements into ServiceNow-based solutions, and collaborate with sales, product, engineering, and delivery teams to ensure alignment and successful outcomes.

Qualifications

• Experience in technical presales and solution architecture for enterprise-scale data integration and analytics.
• Strong data engineering background with hands-on experience in data ingestion, ETL, modeling, storage, and analytics.

Responsibilities

• Evangelize data solutions and advocate for ServiceNow Workflow Data Fabric to business and technical stakeholders.

Skills

Technical presales

Data engineering

Data integration

AI in workflows

REST APIs

SOAP

JSON

JDBC

ETL

Data modeling

Relational databases

NoSQL

Analytics platforms

JavaScript

AngularJS

ReactJS

HTML5

CSS

SQL

Python

Low-code/no-code

CSA

CAD

RPA

Generative AI

OCR

Process Mining

CI/CD

Stakeholder management

Consultative mindset

Communication skills

Storytelling

Presentation skills

Tools

ServiceNow Workflow Data Fabric

NowAssist

Agentic AI

Job description

ServiceNow is seeking a Sr Advisory Solution Consultant to lead technical presales around data engineering and integration. You will craft demonstrations, proofs of concept, and architectures leveraging Workflow Data Fabric, NowAssist, and Agentic AI to showcase value to customers.

You will drive discovery with customers, translate requirements into ServiceNow-based solutions, and collaborate with sales, product, engineering, and delivery teams to ensure alignment and successful outcomes.