IT Data & AI Transformation Leader

Role DescriptionThis 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 strengthAccountable – celebrates our successes, learn from failures, avoid excuses, and own the outcomes of our effortsSelf-Aware – demonstrates an understanding of our strengths and needs, considering how our actions impact othersNoble Intent – acts in the interests of others, approaching our work with integrity to ensure the best outcomeDetermined – takes initiative, share ideas and find solutions to win and achieve our goalsTransparent – promotes open and honest communication and constructive feedback for clarity and truthCurious – seeks knowledge and outside input to test our way of thinking, challenging the status quoDuties & ResponsibilitiesData & AI Transformation StrategyDefine and execute a forward-looking data and AI strategy aligned with business growth and digital transformation objectivesIdentify high-value opportunities to leverage data and AI across JD Edwards, Infor, QAD, Salesforce, and other enterprise systemsPartner with executive leadership to prioritize initiatives that deliver measurable business impactChampion a product-oriented mindset, delivering scalable and reusable data and AI solutionsData Platform & Architecture ModernizationArchitect and lead modern data and AI solutions leveraging Snowflake and AWS to enable scalable, real-time capabilitiesDesign and drive integration of ERP platforms (JD Edwards, Infor, QAD) and Salesforce into a unified enterprise data environmentEstablish best practices for data modeling, pipelines, and architecture to support analytics and AI use casesEnsure scalable, secure, and high-performance data architecture aligned with business needsAI Enablement & InnovationAccelerate adoption of AI technologies including ChatGPT (OpenAI) and Claude to enhance productivity and decision intelligenceArchitect and oversee development of AI-driven use cases from concept through productionPartner with engineering and business teams to embed AI into core processes and workflowsEvaluate and scale emerging AI capabilities to maximize business valueData Quality & Master Data ExcellenceDrive improvements in data consistency, accuracy, and usability across ERP and Salesforce platformsLead initiatives to standardize and optimize master data for customers, products, and suppliersEstablish metrics to measure and continuously improve data reliability and business confidenceAnalytics & Business Value DeliveryEnable advanced business KPIs analytics and self-service capabilities using Qlik and enterprise data platformsLeverage integrated ERP and Salesforce data to improve pipeline visibility, forecasting accuracy, and customer insightsTranslate business needs into scalable data and AI solutions that drive performanceEnsure data is leveraged as a strategic asset to improve speed and quality of decision-makingTeam Leadership & DeliveryLead, mentor, and develop a team of data and AI professionals, fostering a high-performance and innovation-driven cultureAlign team priorities with business objectives and transformation roadmapEnsure effective execution, delivery discipline, and continuous improvement across all initiativesChange Leadership & AdoptionDrive cultural adoption of data-driven and AI-enabled ways of working across global teamsPromote data and AI literacy across business functionsEstablish repeatable frameworks and best practices for scaling solutionsMeasure success through adoption, business outcomes, and realized value