IT BI Manager

RYOBI•Anderson, SC

2d•Hybrid

About The Position

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.

Requirements

Proficiency with SQL is required, including the ability to write, troubleshoot, and optimize complex queries for reporting, analytics, and data preparation.
Proficiency with Power BI is required, including report and dashboard development, data modeling, and DAX in a business setting.
Experience with advanced data modeling techniques — such as dimensional modeling, semantic modeling, or predictive/statistical modeling — and building single-source-of-truth data architecture is required.
Experience using AI coding agents and AI-enabled business tools (e.g., GitHub Copilot, Snowflake Cortex Analyst/Agents, Copilot agents, or similar conversational/agentic solutions) is required.
Ability to manage multiple priorities across enterprise-wide initiatives while maintaining consistent, high-quality technical delivery.
Strong verbal and written communication skills with the ability to manage multiple priorities and perform well under pressure.
Ability to work independently and as an integral part of a cross-functional team, acting as a collaborative team player and mentor to others.

Nice To Haves

Bachelor’s degree along with 5–10 years of relevant experience in data engineering, analytics, or a related field is preferred; 3–5 years of experience is acceptable for candidates holding a bachelor’s degree in computer science, data engineering, or a closely related discipline.
Master’s degree is a plus.
Experience applying data governance principles (e.g., data quality standards, access controls, documentation practices) is strongly preferred.
Project management experience or demonstrated ability to plan and coordinate complex, multi-phase technical initiatives is strongly preferred.
Experience with Snowflake and dbt is strongly preferred.
Experience with Python is preferred, including the ability to build, test, and maintain automation scripts and integrations.
Experience with Azure Data Factory, Docker, Kubernetes, and Prefect (or similar orchestration tools) is a plus.

Responsibilities

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., GitHub 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.