Wabash ยท 1 day ago
Director, Enterprise Data
Wabash is focused on empowering its associates and applicants through equal employment opportunities. The Director, Enterprise Data is responsible for leading the company's enterprise-wide data strategy, ensuring data integrity and accessibility for advanced analytics and business decision-making while leading cross-functional teams to optimize data management processes.
Industrial EngineeringLogisticsManufacturingTransportation
Responsibilities
Develop and execute the Enterprise Data strategy aligned to business priorities, digital modernization, and transformation initiatives
Lead the evolution of enterprise data architecture, platforms, and data pipelines to support business intelligence, predictive analytics, and AI/ML
Create and maintain the enterprise data roadmap including data platforms, governance frameworks, data quality, and integration architecture
Secure alignment with executive leadership, ensuring data initiatives directly enable growth, operational excellence, customer experience, and efficiency
Establish enterprise data standards, policies, data stewardship roles, and controls to ensure data is accurate, secure, and compliant
Lead enterprise-wide Master Data Management (MDM), metadata strategy, data privacy frameworks and data lifecycle management
Partner with Legal, IT Security, and Internal Audit on data protection, risk management, regulatory compliance, and controls
Implement data quality monitoring, remediation processes, and continuous improvement mechanisms
Oversee design and optimization of data platforms (warehouse, lake, lakehouse, and integration layers)
Partner closely with IT, Cloud, ERP, and Digital Product and Software Engineering teams to modernize legacy systems and integrate complex data sources
Drive architectural decisions relating to integrations, APIs, interoperability, and future scalability
Enable self-service analytics through standardized datasets, governed models, and curated data products
Lead a high-performing team of data engineers, data architects, data governance experts, MDM specialists, and Power BI analysts
Build and mature the enterprise data operating model, including service levels and intake, prioritization, security protocols, and delivery models
Influence enterprise stakeholders across Finance, Operations, HR, Supply Chain, Commercial, Product, IT, and external partners to ensure alignment and adoption
Communicate strategy, KPIs, risk, and progress to executive stakeholders, including Board updates when required
Manage strategic initiatives including data platform modernization, integration strategies, MDM deployments, ERP/CRM transformations, cloud migration, and analytics enablement
Oversee vendor relationships related to data integration, cloud infrastructure, MDM platforms, AI, data warehousing, and BI tools
Develop business cases, ROI models, and investment plans to drive data capabilities and capacity
Qualification
Required
Bachelor's degree in Computer Science, Information Management, Data Science, Engineering, or related field required
10+ years in data strategy, data architecture, information management, or enterprise analytics leadership roles
Proven experience leading data modernization or enterprise data governance at scale (multi-site, multi-business-unit environment)
Experience driving change in complex environments including ERP transformations, mergers, data consolidation, cloud migration, or large-scale integration programs
Expertise in enterprise data architecture, warehouse/lake design, integration and ETL/ELT frameworks, cloud environments, and structured/unstructured data solutions
Strong understanding of Azure, AWS, or GCP data technologies, DataBricks, MDM platforms, data cataloging, and BI/reporting tools
Knowledge of data privacy, cyber security, compliance regulations, and risk frameworks
Strategic thought leadership with ability to translate data outcomes into business value
Strong executive presence and communication skills, able to influence at all levels
Track record of building, developing, and retaining high-performing technical and analytic teams
Ability to mobilize cross-functional stakeholders, resolve competing priorities, and drive adoption
Demonstrated decision-making, problem-solving, change leadership, and program management skills
Preferred
Master's degree preferred
Understanding of RPA, AI/ML enablement, data modeling, and algorithmic data structures
Company
Wabash
Wabash provides engineered solutions and services to the transportation, logistics and distribution industries.
H1B Sponsorship
Wabash has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (1)
2023 (5)
2022 (2)
2021 (5)
2020 (8)
Funding
Current Stage
Late StageRecent News
2026-01-07
2026-01-06
2026-01-06
Company data provided by crunchbase