Lead, Data Architect Job Details | Hanes

Full-time

Winston Salem, NC

Apparel Manufacturing

About the position

HanesBrands (NYSE: HBI) makes everyday apparel that is known and loved by consumers around the world for comfort, quality and value. Among the company's iconic brands are Hanes, the leading basic apparel brand in the United States; Bonds, which is setting new standards for design and sustainability; Maidenform, America's number one shapewear brand; and Bali, America's number one bra brand. HBI employs 48,000 associates in 29 countries and has built a strong reputation for workplace quality and ethical business practices. The company, a longtime leader in sustainability, has set aggressive 2030 goals to improve the lives of people, protect the planet and produce sustainable products. We are seeking an experienced Lead, Data Architect to drive the architecture and development of our enterprise data and analytics platform. This role is responsible for architecting end-to-end data and analytics frameworks that support data science, business intelligence, and artificial intelligence initiatives. The successful candidate collaborates closely with data engineers, data scientists, platform admins, and business stakeholders to develop and implement robust data and analytic architectures that drive innovation, optimize performance, and ensure the reliable delivery of analytical insights. The role ensures the organization's data and analytics platforms are secure, scalable, and aligned with the needs of the business.

Responsibilities

• Develop and execute an enterprise data and analytics architectural strategy, ensuring alignment with business objectives and scalability.
• Architect end-to-end data solutions that support distributed processing and advanced analytics, optimizing performance, scalability, and cost-efficiency.
• Collaborate with digital product owners, data scientists and analysts to translate business requirements into data models and architecture for data and AI products.
• Continuously enhance data and analytics platforms; regularly evaluate system performance and identify areas for improvement to ensure platform resilience and scalability.
• Design and oversee the integration of disparate data sources, creating an optimized, efficient data ecosystem.
• Collaborate with Data Governance function to implement data governance frameworks to ensure data quality, privacy, and compliance.
• Strategic liaison between data engineering, analytics, and business units. Foster collaboration to ensure the successful delivery of new data products and solutions that meet the needs of the business.
• Identify and champion new tools, methodologies, and data sources to advance data and analytics capabilities.
• Partner with data scientists to optimize models and approaches, supporting robust and repeatable deployment and monitoring of machine learning solutions.
• Mentor junior architects and data engineers, fostering a culture of technical excellence, innovation, and continuous improvement.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field with 7+ years relevant work experience; 12+ years of equivalent work experience can be substituted for Bachelor's degree.
• Deep expertise in data modeling, data engineering, or analytics, with a strong background in designing enterprise-scale data platforms.
• Experience with data ingress, egress, reporting, data warehousing, data services/ API, AI/ML integration and analytics platforms.
• Proficiency in cloud-based data platforms (Azure preferred) and data warehousing, ETL, and data integration technologies.
• Ability to manage and organize developers and solutions on analytics platforms such as Databricks.
• Strong skills in data analysis with expertise in Python and SQL.
• Knowledge of data governance, privacy, and security best practices.
• Management of multi-disciplinary team development to meet deadline and deliverable quality.
• Experience with multiple machine learning competencies such as time-series, optimization and regression/classification problems.
• Experience leading cross-functional projects and mentoring teams.

Nice-to-haves

• Master's degree with 6+ relevant work experience.
• Terraform or other Infrastructure-as-Code skills would be beneficial.
• Exposure to advanced AI solutions (Large Language Models, Computer Vision) is a plus.
• Experience with MLOps and deploying machine learning models at scale is a plus.
• Experience with retail or consumer packaged goods is a plus.