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# Data & AI Consulting Professional

- **Company:** RGP
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, Business Intelligence Development, Cloud Database, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Visualization, Data Warehousing, Machine Learning, Meta-Data Management, Microsoft SQL Server, Power BI, Cloud Platform System, Azure Data Factory, Snowflake, Generative AI, Microsoft Fabric, Data Lineage, Data Management, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3520360087&tx=FR8784FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 5+ years of experience in Data, Analytics, AI, Business Intelligence, or Cloud Data environments.
 * Experience supporting enterprise transformation initiatives.
 * Strong understanding of data architecture, modeling, and integration.
 * Ability to engage with both technical and non-technical stakeholders.
 * Excellent communication and consulting skills.
 * Experience working in fast-paced project or consulting environments preferred.

## Description

* Data Engineers
 * Data Architects
 * Cloud Data Architects
 * BI Developers
 * Data Analysts
 * Data Scientists
 * Machine Learning Engineers
 * AI Engineers
 * AI Data Engineers
 * Data Governance Managers
 * Snowflake Consultants
 * Databricks Consultants
 * Microsoft Fabric Consultants
 * Data & AI Program Leaders
 * Design and implement modern data platforms and cloud-based architectures.
 * Develop scalable data pipelines and integration solutions.
 * Create impactful analytics, dashboards, and reporting capabilities.
 * Support enterprise data governance and data quality initiatives.
 * Build AI and machine learning solutions that drive business outcomes.
 * Partner with business and technology stakeholders to identify opportunities for innovation.
 * Lead data modernization and digital transformation efforts.
 * Define AI strategies, operating models, and governance frameworks., * Microsoft Azure
 * Microsoft Fabric
 * Azure Data Factory (ADF)
 * Azure Synapse
 * SQL Server
 * Snowflake
 * Databricks
 * Analytics & Business Intelligence:
 * Power BI
 * Data Visualization
 * Reporting & Dashboards
 * Analytics Engineering
 * Business Intelligence Solutions
 * Modern Data Stack:
 * dbt
 * Airflow
 * Fivetran
 * ELT/ETL Development
 * Data Warehousing
 * Lakehouse Architecture
 * Artificial Intelligence & Machine Learning:
 * Generative AI
 * Machine Learning
 * Predictive Analytics
 * MLOps
 * AI Governance
 * AI Strategy & Adoption
 * Data Management:
 * Data Governance
 * Master Data Management (MDM)
 * Data Quality
 * Metadata Management
 * Data Lineage