Manager- Analytics & AI​/BI

We are Builders First Source, America's largest supplier of building materials, value-added components and building services to the professional market. You'll feel proud of the work you do here every day to transform the future of home building and help make the dream of home ownership more achievable. At BFS, we believe building a successful career is not solely defined by a degree.

Your experience, skills, and passion are just as important, if not more so. As such, we are committed to creating a diverse and inclusive workplace that welcomes candidates from all backgrounds and experience levels.

The Manager, Analytics & AI is a hybrid role that blends team leadership with direct, hands‑on delivery of advanced analytics, artificial intelligence, and strategic business priorities. This role leads the development and deployment of enterprise AI and data solutions, including Large Language Models (LLMs), Generative AI (GenAI), and scalable analytics platforms, while driving measurable business outcomes.

• Lead the design, deployment, and scaling of AI/ML solutions, including LLMs, GenAI, and agent‑based systems in production environments
• Build and operationalize scalable AI and analytics frameworks, including governance, monitoring, and MLOps practices
• Support adoption of AI‑assisted engineering workflows and intelligent automation within data and analytics environments
• Ensure AI outputs align with enterprise standards, governance policies, and operational reliability expectations
• Evaluate, benchmark, and optimize models across both open‑source and commercial AI ecosystems

• Lead, coach, and develop data engineering and analytics teams through mentorship, collaboration, and technical guidance
• Establish clear team priorities, delivery expectations, and accountability standards aligned with organizational goals
• Oversee development of scalable data pipelines, semantic models, dashboards, and reporting automation
• Drive adoption of modern analytics tools and self‑service capabilities across the organization

• Act as a strategic advisor to business stakeholders, aligning AI and analytics initiatives with key financial and operational KPIs
• Define and standardize methods for scoping, prioritizing, and tracking AI/analytics use cases, ensuring clear ROI measurement
• Partner with Technology and Data Engineering to improve data accessibility, quality, and readiness
• Drive enterprise data democratization through data catalog and data dictionary initiatives
• Drive organizational change and adoption of new tools, processes, and ways of working

• Leverage automation and intelligent tooling to improve engineering productivity and reporting efficiency
• Promote best practices in ETL/ELT, data modeling, analytics engineering, and cloud-based data platforms
• Ensure alignment between analytics solutions and business processes to enable scalable, repeatable outcomes
• Foster a culture of continuous improvement, experimentation, and innovation

This job has no supervisory responsibilities.

• Bachelor's degree in computer science, data science, engineering, analytics, information systems, statistics, mathematics or related field (Master's preferred)
• 3‑6 years of experience in advanced analytics, data science, or AI/ML
• 1+ years of experience managing technical teams and projects

• Proficiency in Python, SQL, and REST APIs
• Experience with ML, LLM, and GenAI frameworks
• Hands‑on experience with MLOps practices and model lifecycle management
• Experience with cloud environments such as Databricks, Azure, AWS, or Snowflake
• Familiarity with Power BI, Tableau, or other visualization tools
• Experience with data modeling, ETL/ELT pipelines, and reporting automation

• Strong analytical thinking and complex problem‑solving skills
• Exceptional communication and presentation skills
• Ability to influence without authority and drive…