AI Data Intelligence Lead
NewRocket
| Company | NewRocket |
| Category | Data & Analytics |
| Location | USA - Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 7 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
All applicants must provide a LinkedIn profile with a clear picture of themselves.
AI Data Intelligence Lead
AI Foundry | NewRocket
Location: Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead
Why Us
NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.
We #GoBeyondWorkflows to create new kinds of experiences for our customers.
Come join our Crew!
Role Overview
NewRocket is seeking an AI Data Intelligence Lead to design and build AI-powered capabilities that modernize enterprise data and transform it into AI-ready operational context.
This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI systems, intelligent automation, and enterprise AI platforms to operate on trusted, contextual, and continuously improving data.
As part of the AI Foundry within NewRocket’s AI Center of Excellence, this role will help establish the AI Data Readiness layer of the NewRocket Intelligence Platform, enabling scalable AI deployments across enterprise environments including ServiceNow and other operational platforms.
Key Responsibilities
AI Data Intelligence
Design and implement AI-driven systems that improve enterprise data quality through:
AI-powered data enrichment and inference
Entity resolution and fuzzy matching
Automated classification and taxonomy generation
Anomaly detection and data quality monitoring
Achema mapping and data harmonization across datasets
AI Data Architecture
Design modern data platforms that support AI systems, including:
Semantic indexing and embeddings
Knowledge graphs and ontology frameworks
AI-ready data pipelines and enrichment layers
Real-time ingestion and contextualization of enterprise data
Integrate AI data intelligence capabilities across enterprise systems such as ServiceNow, ERP, CRM, and operational platforms.
AI Data Lineage & Observability
Establish enterprise capabilities for:
AI data lineage and traceability
Data provenance across AI pipelines
Observability of data quality and enrichment accuracy
Explainability and auditability for AI-driven systems
Product & Platform Development
Translate data intelligence concepts into scalable capabilities including:
Reusable data modernization frameworks
AI-powered data enrichment services
Internal accelerators and intellectual property
Client-ready data intelligence solutions
Cross-Team Collaboration
Work across:
AI / ML Engineering
Data Engineering
Data Science
Forward Deployed Engineers
ServiceNow platform teams to deliver production-ready AI data intelligence systems.
Required Experience
8+ years in data engineering, machine learning, or AI-driven data platforms
Experience building AI-powered data pipelines or data intelligence systems
Strong background in:
enterprise data modeling and architecture
large-scale data processing
Machine learning applied to data systems
Experience with technologies such as:
Python
ML frameworks
vector databases
knowledge graphs
Modern data platforms (Databricks, Snowflake, etc.)
Preferred Experience
Experience applying LLMs or generative AI to enterprise data systems
Experience with semantic retrieval or RAG architecture
Familiarity with ServiceNow data models (CMDB, workflow data, knowledge systems)
Experi