IT BI Manager
Listed on 2026-10-05
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IT/Tech
Data Engineering, Business Intelligence
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. This role combines data analytics expertise with strong collaboration skills —SQL-based data preparation and Power BI reporting that delivers valuable solutions to the business. The position works across the enterprise rather than being tied to a specific business unit, and partners with the broader DAIE team to implement AI-enabled solutions — such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents, and related conversational or agentic tools — for business consumption.
This role also implements advanced data modeling and single-source-of-truth data architecture efforts, champions data governance standards, and applies project management discipline to complex, multi-phase initiatives. This is a senior individual contributor role requiring deep technical expertise across the full data stack, from pipeline development through reporting and decision-support delivery.
- Applies project management discipline to plan, sequence, and deliver complex, multi-phase data engineering and analytics initiatives, coordinating timelines, dependencies, and stakeholder expectations.
- Partners with business stakeholders and DAIE team members across business units to gather requirements, define technical solutions, and translate business needs into scalable pipeline and reporting architecture.
- Assists in implementing AI-enabled solutions for business consumption, such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents, and related conversational or agentic tools, in partnership with the broader DAIE team.
- Collaborates with IT, data engineering, security, and business stakeholders to ensure solutions are scalable, supportable, secure, and aligned to enterprise standards.
- Implements advanced data modeling efforts — including dimensional modeling, semantic models, and predictive/statistical modeling — to support accurate, scalable analytics across the enterprise.
- Champions single-source-of-truth data architecture, consolidating redundant reports and legacy BI environments into unified, trusted enterprise data models.
- Establishes and reinforces data governance practices, including data quality standards, access controls, and documentation, to ensure solutions are secure, consistent, and auditable.
- Writes, tests, and troubleshoots complex SQL queries to access, transform, validate, and prepare data across multiple source systems.
- Builds, maintains, and enhances Power BI reports, dashboards, and semantic models — including enhanced visualizations — that support enterprise-wide business decision-making.
- Uses AI coding agents and related tools (e.g., Git Hub Copilot) to accelerate development, testing, debugging, and documentation of pipelines, queries, reports, and automation.
- Assists with Snowflake data preparation, transformation, and semantic model development; contributes to and helps mature dbt-based transformation practices across the team.
- Monitors, troubleshoots, and optimizes scheduled data refreshes, pipeline jobs, and automated processes to minimize business disruption and technical debt.
- Serves as a technical resource and team player, sharing best practices in data engineering, automation, and analytics development, and supporting the professional growth of the broader team.
- Performs other related duties as assigned.
- Data Discovery: 5%
- Data Ingestion: 10%
- Data Transformation: 15%
- Semantic Modeling: 20%
- Report/AI Solution Building/Maintenance: 20%
- Collaboration:
30%
This job description is intended to be illustrative of the position's duties and…
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