Total Quality Logistics
Vice President of Data and Analytics
Total Quality Logistics, Cincinnati, Ohio, United States, 45208
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Vice President of Data and Analytics
role at
Total Quality Logistics 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
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
Where you'll be 4289 Ivy Point Blvd Cincinnati, OH 45245
Seniority level
Executive
Employment type
Full-time
Job function
Information Technology
Industries
Truck Transportation
#J-18808-Ljbffr
Vice President of Data and Analytics
role at
Total Quality Logistics 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
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
Where you'll be 4289 Ivy Point Blvd Cincinnati, OH 45245
Seniority level
Executive
Employment type
Full-time
Job function
Information Technology
Industries
Truck Transportation
#J-18808-Ljbffr