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Total Quality Logistics · 2 hours ago

Vice President of Data and Analytics

Cincinnati, OH

Full-time

Onsite

Director/Executive

12+ years exp

Total Quality Logistics is seeking a Vice President of Data & Analytics to lead the strategy, development, and execution of enterprise data capabilities. This role is responsible for the full data lifecycle and aims to enhance operational excellence and data-driven decision making across the organization.

Freight ServiceLogisticsTransportation

Growth Opportunities

No H1B

Responsibilities

Define and own the enterprise data strategy aligned with 3PL operational priorities (e.g., brokerage, capacity, margin optimization)

Translate business needs into data platform capabilities, analytics programs, and delivery roadmaps

Partner across technology, finance, carrier, sales, and customer operations to promote a data-informed culture

Oversee the modernization and integration of cloud-based data architecture (Azure, Databricks, Microsoft Fabric, ADLS)

Drive efforts to consolidate, streamline, and govern enterprise data assets for availability, scalability, and performance

Ensure the team delivers highly available, high-quality, and well-documented data across all business domains

Lead the enterprise reporting and business intelligence strategy, including delivery of dashboards, KPIs, and self-service analytics

Empower operations and leadership with near real-time insights to improve performance, reduce costs, and forecast demand

Collaborate with business stakeholders to measure ROI from data products and support data literacy across teams

Guide the development of AI/ML models for use cases like lane pricing optimization, customer churn, fraud detection, and network planning

Establish processes for model governance, monitoring, and business impact measurement

Oversee data governance programs, including data ownership, data quality, metadata, and data privacy

Ensure alignment with regulatory and customer compliance requirements, such as data security, access controls, and PII handling

Build and manage a high-performing team of data architects, engineers, analysts, data scientists, and governance leads

Establish a culture of collaboration, continuous improvement, and delivery accountability

Lead budgeting, hiring, vendor management, and capability planning for the entire data organization

Qualification

Data strategy developmentCloud data platformsAI/ML model developmentData governanceBusiness intelligenceTeam leadershipCross-functional collaborationExceptional communication