Vice President of Data and Analytics

About the role:

As the Vice President of Data & Analytics with TQL, you will lead the strategy, development, and execution of enterprise data capabilities that support operational excellence, data-driven decision making, and innovation across all lines of the business. This role is accountable for the full data lifecycle — from data ingestion and governance to analytics, machine learning, and value realization. In a high-velocity 3PL environment, this leader plays a mission-critical role in enabling smarter operations, better customer outcomes, and greater efficiency across carrier, customer, and financial workflows.

Key Responsibilities:

• Strategic Leadership
  • 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
• Data Platform Ownership
  • 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
• Analytics & Reporting
  • 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
• Advanced Analytics & Data Science
  • 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
• Data Governance & Compliance
  • 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
• Team Leadership
  • 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

Qualifications:

• Minimum 12 years in data and analytics leadership, including 5 years at the executive level
• Proven track record in scaling enterprise data programs within high-volume industries (3PL, logistics, transportation preferred)
• Expertise in cloud data platforms (Azure, Databricks, ADLS, Power BI, Microsoft Fabric)
• Strong grasp of 3PL data domains including customer orders, carrier capacity, and load margin
• Ability to align data strategies with business goals and drive measurable outcomes
• Exceptional communicator and cross-functional leader with executive stakeholder influence
• Bachelor’s degree required; Master’s degree preferred

Where you'll be: 4289 Ivy Point Blvd Cincinnati, OH 45245