Senior IT Director – Data and Analytics

Role Overview

• Define and execute Valmont’s enterprise Data & Analytics strategy aligned to business and technology priorities, with Databricks as the foundational analytics platform.
• Serve as the sole point of accountability for data and analytics outcomes across the organization.
• Establish and govern enterprise data governance, data quality, metadata, and lifecycle management frameworks in partnership with business leaders.
• Act as a trusted advisor to the CIO, executive leadership, and business stakeholders on data-driven decision making and analytics investment decisions.
• Design, implement, and continuously mature the enterprise Data & Analytics operating model, including Centers of Excellence, domain enablement, and federated analytics capabilities.
• Establish enterprise standards for analytics development, self-service enablement, and reuse leveraging Databricks, BI, and semantic-layer capabilities.
• Drive adoption of self-service analytics, standardized information marts, and reusable data products built on the Databricks lakehouse.
• Own enterprise data literacy, AI enablement, and analytics capability-building initiatives, including training, enablement, and change management for Databricks-based analytics.
• Define and track analytics adoption, value realization, and business impact metrics across domains.
• Own the enterprise data and analytics platform vision, roadmap, and standards, with Databricks as the core lakehouse platform for data integration, analytics, and advanced insights.
• Define standards and guardrails for data modeling, analytics workloads, and consumption patterns on Databricks to ensure scalability, reliability, and cost effectiveness.
• Partner with Infrastructure & Operations and Software Engineering leaders to ensure Databricks and supporting cloud services are secure, performant, and operationally sound.
• Partner with Applications leadership to ensure ERP, operational systems, and business applications are effectively integrated into the Databricks lakehouse.
• Oversee onboarding of domains, data sources, and analytics use cases onto Databricks to support enterprise reporting, advanced analytics, and future AI/ML capabilities.
• Collaborate with IT Business Partners and business leaders to translate enterprise and functional strategies into analytics roadmaps delivered via the Databricks platform.
• Enable insight-driven decision-making across operations, supply chain, finance, sales, and corporate functions using trusted data and standardized metrics.
• Build, lead, and develop high-performing Data & Analytics teams spanning analytics engineering, BI, platform enablement, and governance.
• Establish clear role definitions, career paths, and capability development plans, including Databricks skills and analytics engineering best practices.
• Own vendor strategy and relationships for analytics platforms and tools, including Databricks, ensuring value realization from investments.
• Partner with the CIO on budgeting, forecasting, and investment planning for Data & Analytics platforms and capabilities.
• Ensure analytics initiatives are delivered within approved budgets and resource plans.

Requirements

• Bachelor’s degree in a relevant field (e.g., Analytics, Information Systems, Engineering, Business, or related discipline) with 9+ years experience or Associates with 11+ years experience or 13+ years experience.
• Significant progressive leadership experience in enterprise data, analytics, or modern analytics platforms.
• Demonstrated experience defining and executing a Data & Analytics strategy aligned to business priorities.
• Experience leading analytics teams or functions spanning business intelligence, analytics engineering, or data enablement.
• Strong understanding of modern analytics architectures, including lakehouse platforms (Databricks preferred), BI, and semantic modeling concepts.
• Proven ability to partner with senior business leaders and peer IT leaders to deliver analytics outcomes.
• Hands‑on leadership experience implementing or scaling a Databricks lakehouse platform in a complex enterprise environment.
• Demonstrated success driving enterprise‑wide analytics adoption, self‑service analytics, and data literacy initiatives.
• Experience designing or maturing Data & Analytics operating models, including Centers of Excellence or federated analytics approaches.
• Advanced degree and/or relevant professional certifications related to analytics, data platforms, cloud technologies, or leadership.

Tech Stack

• Cloud
• ERP

Benefits

• Healthcare (medical, prescription drugs, dental and vision)
• 401k retirement plan with company match
• Paid time off
• Employer paid life insurance
• Employer paid short-term and long-term disability including maternity leave
• Work Life Support
• Tuition Reimbursement up to $5,250 per year
• Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more