Remote AI & Analytics Technical Lead — ERP Platform

BST Global; Tampa (FL); Hybrid; USD 150,000 - 190,000; Full time

Job summary

BST Global is seeking a Technical Lead for AI & Analytics to guide a cross-functional team of data scientists, data engineers, and full stack engineers. You will architect and implement ML models, data pipelines, and analytics products on Microsoft Azure and Fabric, driving data-driven decision making across the ERP platform.

You will mentor staff, manage stakeholder expectations, and lead end-to-end engineering lifecycle including feature engineering, model design, training, validation,

Qualifications

• Requires expert-level ETL/ELT, data warehousing, and medallion architecture experience.
• Experience leading data engineering teams building enterprise-scale data platforms.
• Exposure to ML model architecture and data science collaboration.

Responsibilities

• Lead and mentor cross-functional teams of data scientists and data engineers.
• Communicate progress, risks, and trade-offs to stakeholders.
• Oversee end-to-end ML model development, deployment, and monitoring.
• Architect scalable data pipelines using Fabric tools and Lakehouse concepts.
• Define engineering standards for ETL/ELT, code quality, CI/CD, and security.
• Lead Agile ceremonies and maintain technical documentation.
• Assist with interviewing and onboarding of new team members.

Skills

ETL/ELT pipelines

Data warehousing

Medallion Architecture

Python

T-SQL

Spark/PySpark

Azure DevOps / CI/CD

Data modeling

Leadership

Communication

Education

Bachelor’s degree in computer science / data science / statistics / mathematics or related field

Master’s degree preferred

Tools

Microsoft Azure

Microsoft Fabric

Power BI

Fabric Lakehouse

OneLake

Job description

BST Global is seeking a Technical Lead for AI & Analytics to guide a cross-functional team of data scientists, data engineers, and full stack engineers. You will architect and implement ML models, data pipelines, and analytics products on Microsoft Azure and Fabric, driving data-driven decision making across the ERP platform.

You will mentor staff, manage stakeholder expectations, and lead end-to-end engineering lifecycle including feature engineering, model design, training, validation,