IT Data Science Principal, Data Warehouse

🔥 14 minutes ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $120k - $140k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Cornerstone Building Brands

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

🏭 Manufacturing

Construction • Manufacturing

Cornerstone Building Brands is the largest manufacturer of exterior building products in North America. Our comprehensive portfolio spans the breadth of the residential and commercial markets, while our expansive footprint enables us to serve customers and communities across North America. Our relentless focus on excellence combined with our ongoing commitment to innovation and R&D has driven us to become the #1 manufacturer of windows, vinyl siding, insulated metal panels, metal roofing and wall systems, and metal accessories.

📋 Description

• Develop enterprise analytics and AI roadmaps aligned with business strategy, value, and feasibility • Establish prioritization, intake, and funding recommendations for analytics, ML, and GenAI initiatives • Define success metrics and track benefits for analytics and AI products and services • Lead, coach, and partner with multidisciplinary analytics, BI, data science/ML, and vendor teams • Build a high-performing organization focused on customer value, operational excellence, and continuous learning • Partner with business and functional leaders to identify, shape, and deliver analytics and AI use cases • Translate business needs into product backlogs and release plans • Advise on KPI design, experimentation, model performance, adoption, change management, and training • Communicate priorities, timelines, risks, and decisions; establish executive-ready status reporting • Define and enforce standards for data products, semantic models, KPI definitions, model documentation, and lifecycle management • Ensure compliance with security, privacy, data retention, and regulatory requirements • Establish responsible AI practices, including use-case review, human-in-the-loop controls, drift/bias monitoring, incident response, and audit-ready evidence • Modernize analytics and AI platforms, including cloud data stacks, self-service BI, feature/model stores, and GenAI tooling • Implement scalable delivery and operations such as CI/CD, automated testing, observability, cost management, and reuse • Apply manufacturing-domain knowledge to align data models and analytics with plant, product, and order-management processes • Design dimensional models, star schemas, snowflake models, fact/dimension tables, and enterprise data models • Lead end-to-end ETL/ELT pipeline development, including ingestion, transformation, reconciliation, and loading • Drive data governance, data quality, and Master Data Management, including trust rules, match/merge logic, lineage, DQ dashboards, reconciliation, and MDM rule sets • Maintain data lineage, metadata, documentation, data dictionaries, mapping documents, and metadata-driven warehouse frameworks • Lead data warehouse projects and cross-functional collaboration across multiple business units • Modernize legacy warehouses and manage cloud-native data platforms

🎯 Requirements

• Bachelor’s degree in Information Technology, Data Analytics, Business, or a related field • 8+ years of experience across enterprise analytics, business intelligence, and/or data science/ML delivery in a medium-to-large enterprise environment • Proven experience leading teams and portfolios delivering analytics products and AI solutions, including vendor management, roadmap execution, and stakeholder governance • Hands-on experience with Snowflake as an enterprise platform, including Cortex Analyst / Snowflake Intelligence, warehouse cost/performance tuning, and role-based access governance • Experience designing and operating a medallion architecture (Bronze/Silver/Gold) • Experience consolidating data from heterogeneous ERP and legacy source systems such as JDE, EBS, and SAP-based systems • Strong people leadership, coaching, and stakeholder management skills • Ability to translate business strategy into analytics and reporting solutions • Ability to manage multiple priorities in a fast-paced, matrixed environment • Experience delivering AI/ML or GenAI solutions in production, including MLOps practices and cross-functional delivery • Exposure to responsible AI/model risk management, enterprise data governance, and Agile/DevOps methodologies • Practical AI literacy and ability to use AI-enabled tools to enhance productivity, decision-making, and quality of work • Strong understanding of the manufacturing domain, preferably windows manufacturing • Advanced dimensional modeling using Kimball, Inmon, or Data Vault • Experience with ETL/ELT tools such as SSIS, ODI, and Matillion • Strong SQL engineering skills, including complex SQL, PL/SQL, stored procedures, materialized views, CTEs, and performance tuning • Experience with data lineage, metadata management, documentation, data dictionaries, mapping documents, and metadata-driven data warehouse frameworks • Cloud data warehousing exposure, particularly Snowflake, including legacy warehouse modernization and cloud-native data platforms

🏖️ Benefits

• Bonus • Medical, dental, and vision benefits starting day 1 • PTO • Paid holidays • Flexible Spending Account (FSA) • Life insurance • Long-term disability (LTD) • Short-term disability (STD) • 401(k) • Employee Assistance Program (EAP) • Discount programs • Tuition reimbursement • Training • Professional development