IT Data Science Principal, Data Warehouse

🔥 3 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 the enterprise analytics and AI roadmap, aligning use cases and investments 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 engineering, BI, data science/ML, and vendor teams • Set delivery quality, documentation, testing, and responsible AI standards; build development plans and career pathways • Partner with business and functional leaders to identify 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 through executive-ready reporting • Define and enforce standards for data products, semantic models, KPI definitions, model documentation, and lifecycle management • Ensure compliance with security, privacy, 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 CI/CD, automated testing, observability, and cost management for scalable analytics and AI delivery • Apply manufacturing-domain knowledge to align data models and analytics with plant, product, and order-management processes • Apply dimensional modeling using Kimball, Inmon, and Data Vault methods • Lead ETL/ELT pipeline development for ingestion, transformation, reconciliation, and loading using SSIS, ODI, and Matillion • Drive data governance, data quality, MDM, lineage analysis, DQ dashboards, reconciliation, and MDM rule sets • Write and optimize complex SQL, PL/SQL, stored procedures, materialized views, and CTEs • Maintain data lineage, metadata, data dictionaries, mapping documents, and data warehouse frameworks • Lead data warehouse projects and cross-functional collaboration across multiple business units • Modernize legacy warehouses and manage Snowflake cloud-native data platforms using medallion architecture

🎯 Requirements

• Bachelor’s degree in Information Technology, Data Analytics, Business, or a related field • Snowflake SnowPro Certification Required • 8 plus 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, including JDE, EBS, SAP-based systems, and similar • 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 environments, including MLOps practices and cross-functional delivery • Exposure to responsible AI/model risk management, enterprise data governance, and Agile/DevOps delivery methodologies • Practical AI literacy and ability to use AI-enabled tools to enhance productivity, decision-making, and quality of work • Must be at least 18 years of age to apply

🏖️ Benefits

• Bonus • Medical, dental, and vision benefits starting day 1 • 401k • PTO • Paid holidays • FSA • Life insurance • LTD • STD • EAP • Discount programs • Tuition reimbursement • Training • Professional development

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