Vice President of Data and Analytics - PAID RELOCATION TO CINCINNATI
Total Quality LogisticsAbout the role
General information
Country USA State Ohio City CincinnatiDescriptions & requirements
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.
POSITION IS LOCATED IN CINCINNATI - PAID RELOCATION PROVIDED
What you’ll be doing:
- 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
What you need:
- Ability to be based at our headquarters in Cincinnati, Ohio. Relocation package provided.
- 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)
- Stron
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