IT Data & AI Transformation Leader

Job Description

This role leads the transformation of WireCo’s data and AI capabilities into a competitive business advantage. The position focuses on accelerating the use of data and artificial intelligence to drive operational efficiency, commercial growth, and innovation across global operations.

Working closely with business and technology leaders, this role enables scalable analytics, modern data platforms, and practical AI solutions that improve decision-making and unlock new value streams. The leader will guide and develop a high-impact team of data professionals responsible for data engineering, master data, and AI solution delivery across ERP, CRM, analytics, and cloud ecosystems, ensuring alignment with enterprise priorities and measurable business outcomes.

Duties & Responsibilities

• Data & AI Transformation Strategy
• Define and execute a forward-looking data and AI strategy aligned with business growth and digital transformation objectives
• Identify high-value opportunities to leverage data and AI across JD Edwards, Infor, QAD, Salesforce, and other enterprise systems
• Partner with executive leadership to prioritize initiatives that deliver measurable business impact
• Champion a product-oriented mindset, delivering scalable and reusable data and AI solutions
• Data Platform & Architecture Modernization
• Architect and lead modern data and AI solutions leveraging Snowflake and AWS to enable scalable, real-time capabilities
• Design and drive integration of ERP platforms (JD Edwards, Infor, QAD) and Salesforce into a unified enterprise data environment
• Establish best practices for data modeling, pipelines, and architecture to support analytics and AI use cases
• Ensure scalable, secure, and high-performance data architecture aligned with business needs
• AI Enablement & Innovation
• Accelerate adoption of AI technologies including ChatGPT (OpenAI) and Claude to enhance productivity and decision intelligence
• Architect and oversee development of AI-driven use cases from concept through production
• Partner with engineering and business teams to embed AI into core processes and workflows
• Evaluate and scale emerging AI capabilities to maximize business value
• Data Quality & Master Data Excellence
• Drive improvements in data consistency, accuracy, and usability across ERP and Salesforce platforms
• Lead initiatives to standardize and optimize master data for customers, products, and suppliers
• Establish metrics to measure and continuously improve data reliability and business confidence
• Analytics & Business Value Delivery
• Enable advanced business KPIs analytics and self-service capabilities using Qlik and enterprise data platforms
• Leverage integrated ERP and Salesforce data to improve pipeline visibility, forecasting accuracy, and customer insights
• Translate business needs into scalable data and AI solutions that drive performance
• Ensure data is leveraged as a strategic asset to improve speed and quality of decision-making
• Team Leadership & Delivery
• Lead, mentor, and develop a team of data and AI professionals, fostering a high-performance and innovation-driven culture
• Align team priorities with business objectives and transformation roadmap
• Ensure effective execution, delivery discipline, and continuous improvement across all initiatives
• Change Leadership & Adoption
• Drive cultural adoption of data-driven and AI-enabled ways of working across global teams
• Promote data and AI literacy across business functions
• Establish repeatable frameworks and best practices for scaling solutions
• Measure success through adoption, business outcomes, and realized value

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, or related field
• 10–15 years of experience in data, analytics, AI, or digital transformation roles
• Experience working with JD Edwards, Infor, QAD, Salesforce, and enterprise data platforms
• Proven experience architecting scalable data and AI solutions
• Demonstrated experience leading and developing high-performing technical teams
• Strong leadership and cross-functional collaboration skills
• Strong SQL and data engineering capabilities
• Familiarity with Python, R, and modern data engineering frameworks
• Experience with relational, columnar, and NoSQL databases