IT Data & AI Transformation Leader

WireCo WorldGroup•Leawood, KS

1h•Onsite

About The Position

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. The IT Data & AI Transformation Leader must exhibit and proactively motivate the behaviors of the WireCo Business System (WBS): Teamwork - welcomes an environment of inclusiveness and healthy debate that reflects our team’s strength; Accountable – celebrates our successes, learn from failures, avoid excuses, and own the outcomes of our efforts; Self-Aware – demonstrates an understanding of our strengths and needs, considering how our actions impact others; Noble Intent – acts in the interests of others, approaching our work with integrity to ensure the best outcome; Determined – takes initiative, share ideas and find solutions to win and achieve our goals; Transparent – promotes open and honest communication and constructive feedback for clarity and truth; Curious – seeks knowledge and outside input to test our way of thinking, challenging the status quo.

Requirements

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
Must be legally authorized to work in the United States without restriction
An applicant must complete a satisfactory background check post-offer of employment.
Must be willing and able to pass a post-offer drug screen and physical (if required)
Must be 18 years of age or older

Responsibilities

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
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
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
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
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
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
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