IT Data Science Principal (Data Warehouse)

Cornerstone Building Brands, Inc.; Cary (NC); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401k

PTO

Paid holidays

Tuition reimbursement

Job summary

Cornerstone Building Brands, Inc. seeks an IT Data Science Principal (Data Warehouse) to lead enterprise data warehouse and AI capabilities. You will drive analytics engineering, BI, data science/ML, and GenAI enablement with cross-functional teams, vendors, and governance across data products and platforms.

You will shape the analytics roadmap, set outcomes, and ensure scalable delivery aligned with business strategy while maintaining strong data governance and security standards.

Qualifications

• Bachelor’s degree in Information Technology, Data Analytics, Business, or a related field.
• 8+ years of experience in enterprise analytics, BI, and/or data science/ML in a medium-to-large enterprise.
• Proven experience leading teams delivering analytics products and AI solutions, including vendor management and governance.
• Hands-on Snowflake enterprise platform experience, including semantic-layer analytics and cost/performance tuning.
• Experience designing medallion architecture (Bronze/Silver/Gold) and data governance.
• Strong leadership, coaching, and stakeholder management skills.
• Ability to translate business strategy into analytics and reporting solutions.
• Experience delivering AI/ML or GenAI in production environments (MLOps).
• Exposure to responsible AI, data governance, and Agile/DevOps delivery.

Responsibilities

• Partner to develop analytics and AI roadmap aligned to business strategy and value.
• Set prioritization, intake, and funding for analytics, ML, and GenAI initiatives.
• Define success metrics and benefits tracking for analytics/AI products.
• Lead multi-disciplinary teams, including vendor resources.
• Set expectations for delivery quality, testing, and responsible AI practices.
• Build a high-performing organization focused on customer value and learning.
• Translate needs into a clear product backlog and release plan.
• Advise on KPI design, model performance, and adoption considerations.
• Communicate priorities and risks with executive-level reporting.
• Define data product standards, lineage, and lifecycle management.
• Ensure analytics/AI compliance with security, privacy, and governance.
• Establish responsible AI practices and audit-ready evidence.
• Lead modernization of analytics/AI platforms (cloud, self-service BI).
• Drive CI/CD, testing, observability, and cost management.

Skills

People leadership

Stakeholder management

AI/ML delivery

SQL engineering

Data analytics

GenAI awareness

Education

Bachelor's degree in Information Technology / Data Analytics / Business

Tools

Snowflake

Medallion architecture

SSIS

ODI

Matillion

Job description

IT Data Science Principal (Data Warehouse)

• Full-time
• Shift: Day Shift

Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and low‑residential buildings in North America. Headquartered in Cary, N.C., we serve residential and commercial customers across the new construction and Repair & Remodel (R&R) markets. Our market‑leading portfolio of products spans vinyl windows, vinyl siding, stone veneer, metal roofing, metal wall systems and metal accessories. Cornerstone Building Brands’ broad, multi‑channel distribution platform and expansive national footprint includes more than 18,800 team members at manufacturing, distribution and office locations throughout North America. Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in our culture. We are committed to contributing positively to the communities where we live, work and play. For more information, visit us at http://cornerstonebuildingbrands.com .

TheIT Data Science Principal provides leadership for enterprise data warehouse and artificial intelligence capabilities, ensuring the organization delivers trusted insights and scalable Data and AI solutions aligned with business strategy. This role leads people, platforms, and delivery practices across analytics engineering, BI, data science/ML, and GenAI enablement.

The Data Warehouse Engineer partners closely with Data & Analytics leadership, Information Security, Risk/Compliance, and business leaders to define priorities, manage teams and vendors, and embed governance for data, models, and AI use cases. This role drives measurable outcomes through roadmap execution, operating rhythms, and continuous improvement across Data Warehouse, analytics and AI delivery.

WHAT YOU’LL DO

• Partner in developing enterprise analytics and AI roadmap, aligning use cases and investments to business strategy, value, and feasibility.
• Establish outcome‑based prioritization, intake, and funding recommendations for analytics, ML, and GenAI initiatives.
• Define success metrics and benefits tracking for analytics/AI products and services (adoption, quality, cycle time, and business impact).
• Lead, coach, and partner with multi‑disciplinary teams (analytics engineers, BI developers/analysts, data scientists/ML engineers), including vendor/partner resources.
• Set clear expectations for delivery quality, documentation, testing, and responsible AI practices; build development plans and career pathways.
• Build a high‑performing organization focused on customer value, operational excellence, and continuous learning across analytics and AI.
• Partner with business and functional leaders to identify, shape, and deliver analytics and AI use cases; translate needs into a clear product backlog and release plan.
• Serve as a trusted advisor on KPI design, experimentation, model performance, and adoption considerations (process, change management, training).
• Communicate priorities, timelines, risk, and decisions clearly; establish operating rhythms and executive‑ready status reporting.
• Define and enforce standards for data products, semantic models, KPI definitions, model documentation, and lifecycle management.
• Ensure analytics and AI solutions comply with enterprise security, privacy, data retention, and regulatory requirements; partner with InfoSec and Risk on controls.
• Establish responsible AI practices (use‑case review, human‑in‑the‑loop where needed, monitoring for drift/bias, and incident response) and drive audit‑ready evidence.
• Identify and lead opportunities to modernize the analytics and AI platform (cloud data stack, self‑service BI, feature/model stores, and GenAI tooling).
• Implement scalable delivery and operations (CI/CD, automated testing, observability, cost management) to improve reliability, speed, and reuse across analytics and AI products.
• Bring a strong understanding of the manufacturing domain, preferably windows manufacturing, to align data models and analytics solutions with plant, product, and order‑management processes.
• Apply advanced dimensional modeling (Kimball, Inmon, Data Vault) to design 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 pipelines using tools such as SSIS, ODI, and Matillion.
• Drive data governance, data quality, and Master Data Management (MDM), including trust rules, match/merge logic, lineage analysis, DQ dashboards, reconciliation processes, and MDM rule sets.
• Apply strong SQL engineering skills, writing complex SQL, PL/SQL, stored procedures, materialized views, and CTEs, with a focus on performance tuning.
• Maintain data lineage, metadata management, and documentation, including data dictionaries, mapping documents, lineage tracking, and metadata‑driven data warehouse frameworks.
• Provide leadership on data warehouse projects and cross‑functional collaboration, leading data engineering teams, managing stakeholders, gathering requirements, and delivering enterprise data warehouse solutions across multiple business units.
• Bring cloud data warehousing exposure (Snowflake), including hands‑on experience modernizing legacy warehouses, implementing Medallion architecture, and managing cloud‑native data platforms.

REQUIREMENTS

• Bachelor’s degree in Information Technology, Data Analytics, Business, or a related field.
• 8 plusyears 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 for semantic‑layer‑driven natural language analytics, warehouse cost/performance tuning, and role‑based access governance.
• Experience designing and operating a medallion architecture (Bronze/Silver/Gold), with clear separation between raw replication, single‑source‑of‑truth business definitions, and consumer‑specific customizations.
• Experience consolidating data from multiple heterogeneous ERP and legacy source systems (e.g., JDE, EBS, SAP based systems, and similar) into a governed enterprise platform, including reconciliation across inconsistent business definitions and buying‑group/customer hierarchies.
• 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.
• Demonstrates practical AI literacy and the ability to thoughtfully use AI‑enabled tools to enhance productivity, decision‑making, and quality of work.

The US base salary range for this full‑time position is $120,000-$140,000 + bonus + medical, dental, vision benefits starting day 1 + 401k and PTO. Our salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. (Full‑time is defined as regularly working 30+ hours per week.)

All your information will be kept confidential according to EEO guidelines.

Why work for Cornerstone Building Brands?

Our teams are at the heart of our purpose to positively contribute to the communities where we live, work and play. Full‑time* team members receive** medical, dental and vision benefits starting day 1. Other benefits include PTO, paid holidays, FSA, life insurance, LTD, STD, 401k, EAP, discount programs, tuition reimbursement, training, and professional development.

*Full‑time is defined as regularly working 30+ hours per week. **Union programs may vary depending on the collective bargaining agreement.

Cornerstone Building Brands is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, or status as a protected veteran. You can find the Equal Employment Opportunity Poster here . You can also view Your Right to Work Poster here along with This Organizations Participation in E‑Verify Poster here .If you'd like to view a copy of the company's affirmative action planfor protected veterans or individuals with disabilities or policy statement, please contact Human Resources at 281‑897‑7788 or [e-mail]. If you have a disability and you believe that you need a reasonable accommodation in order to search for a job opening or to submit an online application, please contact Human Resources at 281‑897‑7788 or [e-mail]. This email is used exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails received for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

All your information will be kept confidential according to EEO guidelines.

Must be at least 18 years of age to apply.

Note to External Recruiters

Cornerstone Building Brands does not accept unsolicited resumes and will not pay fees for any candidate submissions that were not expressly authorized.