IT BI Manager

About the role

The IT BI Manager is a senior, full-stack member of the Data Analytics & Information Engineering (DAIE) team, responsible for reporting, analytics and AI-enabled solutions across TTI's business units. The role spans the enterprise and partners with the DAIE team on AI tools such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents and related conversational or agentic tools. It also covers advanced data modeling, single-source-of-truth data architecture, data governance and project management of complex, multi-phase initiatives.

Key responsibilities

• Plan, sequence and deliver complex data engineering and analytics initiatives, coordinating timelines, dependencies and stakeholder expectations.
• Gather requirements with business stakeholders and the DAIE team and turn them into scalable pipeline and reporting architecture.
• Implement AI-enabled solutions and collaborate with IT, data engineering, security and business stakeholders so solutions are scalable, secure and aligned to enterprise standards.
• Build dimensional, semantic and predictive/statistical models, and consolidate redundant reports and legacy BI environments into unified enterprise data models.
• Establish data governance practices covering data quality, access controls and documentation.
• Write, test and troubleshoot complex SQL queries, and build, maintain and enhance Power BI reports, dashboards and semantic models.
• Use AI coding agents (e.g. GitHub Copilot) to speed up development, testing and documentation.
• Assist with Snowflake data preparation and dbt-based transformations, and monitor and optimize scheduled data refreshes and pipeline jobs.

Required profile

• Bachelor's degree with 5-10 years of relevant experience in data engineering, analytics or a related field; 3-5 years acceptable for a CS/data engineering bachelor's degree; master's degree a plus.
• Strong problem solving, collaboration, ownership and communication skills, able to work independently and across the enterprise.

Required skills

• Proficiency with SQL, Power BI and DAX.
• Advanced data modeling (dimensional, semantic, predictive/statistical) and single-source-of-truth architecture.
• AI coding agents and AI-enabled tools (e.g. GitHub Copilot, Snowflake Cortex Analyst/Agents).
• Data governance principles strongly preferred; Snowflake, dbt, Python, Azure Data Factory, Docker, Kubernetes and Prefect a plus.