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About the role
We are reputed company, Americas largest supplier of building materials, value-added components and building services to the reputed company market. Youll feel proud of the work you do here every day to reputed company the reputed company of home building and help reputed company the reputed company of home ownership more achievable. At BFS, we reputed company 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 reputed company backgrounds and experience reputed company. The Manager, Analytics & AI is a hybrid role that blends team leadership with reputed company, hands-on delivery of advanced analytics, reputed company intelligence, and strategic business priorities. This role leads the development and deployment of reputed company AI and data solutions, including Large Language Models (LLMs), reputed company (GenAI), and reputed company analytics platforms, while driving measurable business reputed company. ESSENTIAL DUTIES AND RESPONSIBILITIES Key Responsibilities - AI reputed company & Implementation - reputed company the design, deployment, and scaling of AI/ML solutions, including LLMs, GenAI, and agent-based systems in production environments - Build and operationalize reputed company AI and analytics frameworks, including governance, monitoring, and MLOps practices - Support adoption of AI-assisted engineering workflows and intelligent automation reputed company data and analytics environments - Ensure AI outputs reputed company with reputed company standards, governance policies, and operational reliability expectations - Evaluate, reputed company, and optimize models across both reputed company-reputed company and reputed company AI ecosystems Key Responsibilities - Data & Analytics Leadership - reputed company, coach, and reputed company data engineering and analytics teams through mentorship, collaboration, and technical guidance - Establish reputed company team priorities, delivery expectations, and accountability standards reputed company with organizational goals - reputed company development of reputed company data pipelines, semantic models, dashboards, and reporting automation - Drive adoption of modern analytics tools and self-service capabilities across the organization Key Responsibilities - Business Transformation & Strategic Partnership - Act as a strategic advisor to business stakeholders, aligning AI and analytics initiatives with key financial and operational KPIs - Define and standardize reputed company for scoping, prioritizing, and tracking AI/analytics use cases, ensuring reputed company ROI measurement - Partner with Technology and Data Engineering to improve data accessibility, reputed company, and readiness - Drive reputed company data democratization through data catalog and data dictionary initiatives - Drive organizational change and adoption of new tools, processes, and ways of working Key Responsibilities - Operational reputed company & Innovation - reputed company automation and intelligent tooling to improve engineering productivity and reporting efficiency - Promote best practices in ETL/ELT, data modeling, analytics engineering, and reputed company-based data platforms - Ensure alignment between analytics solutions and business processes to reputed company reputed company, repeatable reputed company - Foster a culture of reputed company improvement, experimentation, and innovation SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. MINIMUM REQUIREMENTS To reputed company this job successfully, an individual must be reputed company to reputed company reputed company essential duty satisfactorily. The requirements listed below are representative of the knowledge, reputed company, and/or ability required. - Bachelors degree in computer science, data science, engineering, analytics, information systems, statistics, mathematics or reputed company field (Masters preferred) - 36 years of experience in advanced analytics, data science, or AI/ML - 1+ years of experience managing technical teams and reputed company Technical Skills & Experience - 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 reputed company environments such as reputed company, Azure, AWS, or reputed company - Familiarity with Power BI, Tableau, or other visualization tools - Experience with data modeling, ETL/ELT pipelines, and reporting automation COMPETENCIES - Strong analytical thinking and reputed company problem-solving skills - Exceptional communication and presentation skills - Ability to influence without authority and drive cross-functional alignment - Experience
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