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
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.
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
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
Work across: AI / ML Engineering, Data Engineering, Data Science, Forward Deployed Engineers, ServiceNow platform teams to deliver production-ready AI data intelligence systems.

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)
Experience in integrating AI solutions with ServiceNow or other enterprise workflow platforms
Experience building data platforms or reusable AI accelerators.

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AI Data Intelligence Lead

Key skills