Senior Business Intelligence Engineering and Data Manager

Relha LLC; Columbus (OH); On-site; USD 125,000 - 185,000; Full time

Benefits offered by this job

401(k) matching

Medical coverage plans

Paid time off and holidays

Tuition reimbursement

Job summary

Safelite is seeking a Senior BI Engineering and Data Manager to lead the technical execution of enterprise analytics initiatives and build a high‑performing BI Engineering and Data Products organization. You will set architecture for scalable BI platforms, partner with Data and IT teams, and translate priorities into durable roadmaps that deliver trusted analytics at scale.

This role requires 7–9 years in data analytics or data engineering, 4–6 years leading technical teams, and strong SQL,

Qualifications

• Bachelor's degree in computer science, engineering, analytics, or related field.
• 7-9 years hands on experience in a data engineering or analytics related role.
• 4-6 years managing a technical team.
• 7-9 years Advanced SQL development, including complex transformations, performance optimization, and data modeling.
• 4-6 years Experience with modern cloud data warehouses (e.g., Snowflake or similar).
• 4-6 years Experience using Python or other programming languages for data transformation, automation, or analytics workflows.
• 4-6 years Experience with modern analytics engineering tools (e.g., dbt, FiveTran) and CI/CD practices.
• Expert-level SQL knowledge, including advanced query optimization, window functions, CTEs, nested queries, and complex transformations used in enterprise analytics workflows.
• Advanced proficiency in Python or similar programming languages for analytics engineering, automation, workflow orchestration, and operational reporting.
• Ability to technically scope, decompose, and solve abstract analytical problems by translating ambiguous business needs into well‑defined BI engineering designs using computer science and analytics engineering principles.
• Deep knowledge of BI and analytics engineering architecture, including the design and evolution of governed semantic layers, metrics frameworks, and reusable analytics components.
• Strong understanding of data warehouse architecture and data modeling best practices, including dimensional modeling, performance optimization, and alignment with upstream ingestion patterns.
• Experience leading teams responsible for enterprise BI platforms, dashboards, and downstream data products built on governed semantic layers.
• Ability to lead technical scoping, estimation, and business case refinement, including defining and comparing quantifiable value, complexity, and architectural impact across analytics use cases.
• Demonstrated people management skills, including coaching, performance management, mentoring senior technical talent, and workforce development.
• Strong communication and stakeholder management skills, with the ability to translate between business objectives and technical design decisions.
• Sound architectural judgment to balance near‑term delivery with long‑term scalability, maintainability, and platform consistency.
• Experience administering and governing BI platforms (e.g., Tableau Cloud), including site management, permissions, content organization, certification, automation, and enforcement of reporting standards.
• Familiarity with modern data engineering tools, CI/CD concepts, and version control practices as they relate to analytics engineering and BI workflows.

Responsibilities

• Provide technical and people leadership for the BI Engineering and Data Products team: Sets architectural direction and governs BI engineering standards to ensure scalable, reliable analytics solutions.
• Manages and develops BI Engineers and BI Developers through performance management, coaching, and workforce planning, and serves as the escalation point for complex, cross‑functional technical and delivery issues.
• Scope, decompose, and lead execution of complex BI engineering problems across a variety of functional areas: Translates ambiguous business and analytical needs into well‑defined BI engineering designs and work plans.
• Deconstructs complex or legacy reporting workflows and guides the application of computer science and analytics engineering principles to ensure solutions are performant, extensible, and maintainable.
• Oversee BI pipeline engineering quality and delivery: Ensures end‑to‑end quality of BI pipelines by establishing and enforcing standards for data modeling, testing, documentation, version control, and CI/CD.
• Drives consistent engineering practices to improve reliability, scalability, and speed of analytics delivery.
• Design and evolve BI semantic and reporting architecture: Leads the design and continuous improvement of shared semantic layers, metrics frameworks, and reusable BI components.
• Partners closely with Data Engineering and IT engineering teams to align BI solutions with enterprise data platforms and ingestion patterns.
• Define and communicate business and technical value of BI initiatives: Quantifies impact and informs prioritization, sequencing, and investment decisions.
• Ensures BI roadmaps balance business outcomes, technical complexity, and architectural alignment.
• Establish and oversee BI platform governance and operations: Directs governance and operational management of BI platforms, including Tableau Cloud administration, access controls, content certification, automation, and quality monitoring.

Skills

Leadership

SQL

Python

Cloud data warehousing

dbt

CI/CD

Architecture

Data governance

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

Snowflake

Tableau Cloud

Git

Fivetran

Job description

Senior Business Intelligence Engineering and Data Manager

A Brief Overview

The Senior Manager of BI Engineering and Data Products will lead the technical execution of complex, enterprise analytics initiatives and build a high-performing BI Engineering and Data Products organization.

This position will set technical and architectural direction for scalable, governed BI platforms and data products, partner closely with Data Engineering and IT engineering teams to solve ambiguous problems, and translate enterprise priorities into durable roadmaps that deliver trusted analytics outcomes at scale.

Expected Work Location (In Office): It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs. #LI-Onsite #LI-JR2

What You Will Do

Provide technical and people leadership for the BI Engineering and Data Products team: Sets architectural direction and governs BI engineering standards to ensure scalable, reliable analytics solutions. Manages and develops BI Engineers and BI Developers through performance management, coaching, and workforce planning, and serves as the escalation point for complex, cross‑functional technical and delivery issues.

Scope, decompose, and lead execution of complex BI engineering problems across a variety of functional areas: Analyzes ambiguous business and analytical needs and translates them into well‑defined BI engineering designs and work plans. Deconstructs complex or legacy reporting workflows and guides the application of computer science and analytics engineering principles to ensure solutions are performant, extensible, and maintainable.

Oversee BI pipeline engineering quality and delivery: Ensures end‑to‑end quality of BI pipelines from semantic and metrics layers through dashboards and downstream data products by establishing and enforcing standards for data modeling, testing, documentation, version control, and CI/CD. Drives consistent engineering practices to improve reliability, scalability, and speed of analytics delivery.

Design and evolve BI semantic and reporting architecture: Leads the design and continuous improvement of shared semantic layers, metrics frameworks, and reusable BI components. Partners closely with Data Engineering and IT engineering teams to align BI solutions with enterprise data platforms, ingestion patterns, and architectural standards, enabling scalable self‑service analytics.

Define and communicate business and technical value of BI initiatives: Quantifies the impact of BI solutions and communicates value to Product, Engineering, and Business leaders to inform prioritization, sequencing, and investment decisions. Ensures BI roadmaps balance business outcomes, technical complexity, and architectural alignment.

Establish and oversee BI platform governance and operations: Directs governance and operational management of BI platforms, including Tableau Cloud administration, access controls, content certification, automation, and quality monitoring. Ensures BI platforms operate as stable, well‑governed engineering systems with clear ownership and observability.

Performs other duties as assigned

Complies with all policies and standards

What You Will Need

Bachelor's Degree in computer science, engineering, analytics, or related field Required

7-9 years hands on experience in a data engineering or analytics related role Required

4-6 years managing a technical team Required

7-9 years Advanced SQL development, including complex transformations, performance optimization, and data modeling. Required

4-6 years Experience with modern cloud data warehouses (e.g., Snowflake or similar). Required

4-6 years Experience using Python or other programming languages for data transformation, automation, or analytics workflows. Required

4-6 years Experience with modern analytics engineering tools (e.g., dbt, FiveTran) and CI/CD practices. Required

Expert-level SQL knowledge, including advanced query optimization, window functions, CTEs, nested queries, and complex transformations used in enterprise analytics workflows. High (High proficiency)

Advanced proficiency in Python or similar programming languages for analytics engineering, automation, workflow orchestration, and operational reporting. High (High proficiency)

Ability to technically scope, decompose, and solve abstract analytical problems by translating ambiguous business needs into well‑defined BI engineering designs using computer science and analytics engineering principles. High (High proficiency)

Deep knowledge of BI and analytics engineering architecture, including the design and evolution of governed semantic layers, metrics frameworks, and reusable analytics components. High (High proficiency)

Strong understanding of data warehouse architecture and data modeling best practices, including dimensional modeling, performance optimization, and alignment with upstream ingestion patterns. Medium (Medium proficiency)

Experience leading teams responsible for enterprise BI platforms, dashboards, and downstream data products built on governed semantic layers. Medium (Medium proficiency)

Ability to lead technical scoping, estimation, and business case refinement, including defining and comparing quantifiable value, complexity, and architectural impact across analytics use cases. Medium (Medium proficiency)

Demonstrated people management skills, including coaching, performance management, mentoring senior technical talent, and workforce development. Medium (Medium proficiency)

Strong communication and stakeholder management skills, with the ability to translate between business objectives and technical design decisions. Medium (Medium proficiency)

Sound architectural judgment to balance near‑term delivery with long‑term scalability, maintainability, and platform consistency. Medium (Medium proficiency)

Experience administering and governing BI platforms (e.g., Tableau Cloud), including site management, permissions, content organization, certification, automation, and enforcement of reporting standards. Medium (Medium proficiency)

Familiarity with modern data engineering tools, CI/CD concepts, and version control practices as they relate to analytics engineering and BI workflows. Medium (Medium proficiency)

What You Will Get:

Competitive weekly pay and bonus opportunities.

Total job benefits valued at more than $10k*. This includes a 401(k) plan with company matching, medical coverage plans customized to suit your needs and a commitment to work/life balance through our paid time off (PTO) programs, company holidays and paid volunteer days.

Up to $5,250 in tuition reimbursement per year.

View all our health, wealth and life offerings at www.safelitebenefits.com

Our people are passionate about what they do, the product they sell, and the customers they serve. If you're looking for an opportunity to be a part of a work culture that values collaboration, innovation and dedication, we're the right company for you.

This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability.

Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.