About the job
AI Data Intelligence Lead
Join the AI Foundry at NewRocket!
Location: Fully Remote (with occasional travel as needed)
Reports to: Global AI Center of Excellence Lead
Why Choose Us?
At NewRocket, we position ourselves as the premier AI-first Elite ServiceNow Partner, dedicated to unlocking significant value on the Now Platform. Our team serves as trusted advisors to enterprise leaders, melding industry expertise with human-centered design and cutting-edge AI to guide organizations through transformation and ensure scalable growth. With two decades of experience in helping clients harness the full potential of the ServiceNow AI Platform, we have solidified our status as one of the largest dedicated ServiceNow partners, with a focus on fostering trustworthy AI that yields substantial long-term business benefits.
We aspire to #GoBeyondWorkflows, crafting innovative experiences for our clients.
We invite you to become a part of our dynamic team!
Role Overview
As an AI Data Intelligence Lead, you will be instrumental in designing and developing AI-driven capabilities that modernize enterprise data, transforming it into an AI-ready operational context.
This position emphasizes the application of machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. Your contributions will empower agentic AI systems, intelligent automation, and enterprise AI platforms to function on reliable, contextual, and continuously evolving data.
Working within the AI Foundry at NewRocket’s AI Center of Excellence, you will help establish the AI Data Readiness layer of the NewRocket Intelligence Platform, facilitating scalable AI deployments across enterprise environments, including ServiceNow and additional operational platforms.
Key Responsibilities
- AI Data Intelligence
- Design and implement AI-driven systems that enhance 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
- Schema mapping and data harmonization across datasets
- AI Data Architecture
- Create 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.

