About this opportunity
BST Consultants, Inc. lists this Technical Lead — Artificial Intelligence & Analytics (AIA) opportunity in tampa, Florida. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Technical Lead—Artificial Intelligence & Analytics (AIA)
Department
Data Science & Data Engineering Leadership
Location
Remote/hybrid if located in Tampa, FL office
Summary of Duties & Responsibilities
As a Technical Lead—AI & Analytics at BST Global, you will lead a team of data scientists and data engineers in the design, development, and delivery of machine learning models, data pipelines and analytics products built on Microsoft Azure and Fabric. This role requires deep expertise in ML model architecture and design, data engineering, and proven team leadership skills, including holding staff accountable for deliverables, providing constructive feedback, monitoring work assignments and managing stakeholder expectations.
What You’ll Do
Lead, mentor, and coach a cross‑functional team of data scientists and data engineers; monitor work assignments, track milestones, and hold staff accountable for the quality and timeliness of deliverables
Manage stakeholder expectations by proactively communicating progress, risks, and trade‑offs to technical and non‑technical audiences
Drive the end‑to‑end ML lifecycle, including feature engineering, model architecture and design, training, validation, deployment and monitoring
Provide technical guidance on ML model selection, hyperparameter tuning and evaluation metrics; oversee predictive analytics solutions for project management data
Architect scalable, resilient data pipelines using Databricks, Apache Airflow, Microsoft Fabric Data Factory and Microsoft Fabric; lead data modeling and warehousing efforts leveraging medallion architecture and Microsoft Fabric Lakehouse
Establish and enforce engineering standards for ETL/ELT processes, code quality, version control, CI/CD, and security, including row‑level and object‑level controls
Participate in and lead agile ceremonies; accurately estimate assignments and maintain technical documentation
Evaluate emerging AI/ML frameworks and data engineering tools, making recommendations that advance team capabilities
Assist with interviewing and onboarding new team members to ensure team sustainability
What We’re Looking For
Data Science & ML Expertise: Deep knowledge of ML model architecture and design, including supervised and unsupervised learning, deep learning, NLP, and time‑series forecasting; prior experience leading data science teams and translating business problems into analytical solutions
Data Engineering Proficiency: Expert‑level understanding of ETL/ELT pipelines, data warehousing, medallion architecture and orchestration tools; prior experience leading data engineering teams building enterprise‑scale data platforms
Leadership & Accountability: Proven ability to set clear expectations, monitor deliverables, provide constructive feedback and hold team members accountable; skilled at managing stakeholder expectations across technical and business audiences
Problem‑Solving & Communication: Strong analytical skills, with the ability to break down complex problems and develop effective solutions; effective at articulating ideas and collaborating across cross‑functional teams
Required Technical Skills
Programming: Python (expert), T‑SQL (advanced), Spark/PySpark (advanced)
ML & Data Science: ML model architecture and design (advanced); model training, validation and deployment (advanced); feature engineering
Platforms & Tools: Databricks (advanced), Apache Airflow (advanced), Microsoft Fabric Data Factory (required); Microsoft Fabric, including Lakehouse, OneLake and semantic models (advanced)
Cloud & Security: Azure compute, storage, databases and developer tools (advanced); row‑level and object‑level security; performance monitoring and optimization
Desired Skills
Cross‑tenant data sharing and Microsoft Power BI/semantic model sharing in Microsoft Fabric
Observability tooling and platform monitoring
Knowledge of project management and financial concepts, including budgets, revenue, profit and earned value
Certifications in Microsoft Azure, Python, SQL or Databricks
Education & Experience
Bachelor’s degree in computer science, data science, statistics, mathematics or a related field; master’s degree preferred
Seven or more years of experience in data engineering and/or data science with at least three years in a technical leadership role overseeing cross‑functional data teams
Number Supervised
5 – 10 data scientists and data engineers
Travel
Up to 5%
Classification
Exempt
Work Environment & Physical Demands
This job operates in a professional office environment with standard office equipment. Remote work is supported with core hours of 9:00 a.m. – 6:00 p.m. ET. The employee is regularly required to speak and listen and frequently required to stand, walk and use their hands.
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Worksite address
tampa, FL, 33646, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.