CS Recruiting
IT Manager – AI & Transportation Systems
CS Recruiting, Lakeland, Florida, United States, 33809
IT Manager – AI & Transportation Systems
Our client is a customer-focused transportation solution that provides reliable asset-based carrier services and flexible dedicated logistics options to meet your unique transportation needs. Their team is dedicated to delivering unparalleled service to give you a seamless, one-stop transportation solution.
Job Type:
Full-time; On-site
Responsibilities
Develop and execute the IT roadmap aligned with organizational goals, with a strong focus on AI-driven optimization and digital transformation.
Identify opportunities to incorporate machine learning, predictive analytics, and automation into transportation workflows (fleet management, routing, maintenance, scheduling, logistics, etc.).
Lead vendor evaluations, RFPs, and technology implementation for transportation management systems (TMS), fleet telematics, ELD, AVL, IoT sensors, and dispatch software.
Manage the architecture, deployment, and maintenance of IT systems, networks, cloud platforms, and data infrastructure supporting transportation operations.
Ensure high availability and performance of critical applications such as routing engines, onboard systems, and real-time tracking platforms.
Lead development and deployment of AI models for predictive maintenance, route optimization, demand forecasting, safety analytics, and operational efficiency.
Oversee data governance, data quality, and the creation of centralized data pipelines and dashboards.
Partner with data scientists and engineers to operationalize AI solutions and ensure they integrate effectively into day-to-day transportation systems.
Ensure cybersecurity best practices across IT and operational technology (OT) environments, including onboard systems and IoT devices.
Maintain compliance with relevant regulations (DOT, FMCSA, NIST, GDPR, ISO standards, or regional transportation security requirements).
Manage risk assessments, disaster recovery planning, and business continuity initiatives.
Supervise IT staff, providing mentorship, performance management, and skills development.
Collaborate with operations, dispatch, maintenance, HR, finance, and executive leadership to understand business needs and deliver effective technology solutions.
Manage IT budgets, procurement, and vendor relationships.
Experience
Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related field (Master’s Degree is preferred).
5–10+ years of IT management experience, including leading technical teams.
Proven experience in transportation, logistics, public transit, or mobility systems.
Experience implementing or managing AI, machine learning, or data analytics solutions.
Strong knowledge of cloud platforms (AWS, Azure, GCP).
Familiarity with TMS, ELD/telematics, GPS/AVL, route optimization platforms, or maintenance systems.
Understanding of data engineering, APIs, system integrations, and microservices.
Proficiency with cybersecurity frameworks and IT best practices (ITIL, NIST, ISO 27001).
Experience with SQL/NoSQL databases, BI tools, and ML platforms (e.g., TensorFlow, PyTorch, Azure ML).
Knowledge of AI-enabled predictive maintenance or advanced fleet analytics is preferred.
Background in Transportation Industry-- Asset and non asset is preferred.
Strong leadership, decision-making, and project-management capabilities is preferred
Ability to translate technical concepts into business language.
Excellent communication and cross-functional collaboration skills.
This position offers a competitive base salary.
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Job Type:
Full-time; On-site
Responsibilities
Develop and execute the IT roadmap aligned with organizational goals, with a strong focus on AI-driven optimization and digital transformation.
Identify opportunities to incorporate machine learning, predictive analytics, and automation into transportation workflows (fleet management, routing, maintenance, scheduling, logistics, etc.).
Lead vendor evaluations, RFPs, and technology implementation for transportation management systems (TMS), fleet telematics, ELD, AVL, IoT sensors, and dispatch software.
Manage the architecture, deployment, and maintenance of IT systems, networks, cloud platforms, and data infrastructure supporting transportation operations.
Ensure high availability and performance of critical applications such as routing engines, onboard systems, and real-time tracking platforms.
Lead development and deployment of AI models for predictive maintenance, route optimization, demand forecasting, safety analytics, and operational efficiency.
Oversee data governance, data quality, and the creation of centralized data pipelines and dashboards.
Partner with data scientists and engineers to operationalize AI solutions and ensure they integrate effectively into day-to-day transportation systems.
Ensure cybersecurity best practices across IT and operational technology (OT) environments, including onboard systems and IoT devices.
Maintain compliance with relevant regulations (DOT, FMCSA, NIST, GDPR, ISO standards, or regional transportation security requirements).
Manage risk assessments, disaster recovery planning, and business continuity initiatives.
Supervise IT staff, providing mentorship, performance management, and skills development.
Collaborate with operations, dispatch, maintenance, HR, finance, and executive leadership to understand business needs and deliver effective technology solutions.
Manage IT budgets, procurement, and vendor relationships.
Experience
Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related field (Master’s Degree is preferred).
5–10+ years of IT management experience, including leading technical teams.
Proven experience in transportation, logistics, public transit, or mobility systems.
Experience implementing or managing AI, machine learning, or data analytics solutions.
Strong knowledge of cloud platforms (AWS, Azure, GCP).
Familiarity with TMS, ELD/telematics, GPS/AVL, route optimization platforms, or maintenance systems.
Understanding of data engineering, APIs, system integrations, and microservices.
Proficiency with cybersecurity frameworks and IT best practices (ITIL, NIST, ISO 27001).
Experience with SQL/NoSQL databases, BI tools, and ML platforms (e.g., TensorFlow, PyTorch, Azure ML).
Knowledge of AI-enabled predictive maintenance or advanced fleet analytics is preferred.
Background in Transportation Industry-- Asset and non asset is preferred.
Strong leadership, decision-making, and project-management capabilities is preferred
Ability to translate technical concepts into business language.
Excellent communication and cross-functional collaboration skills.
This position offers a competitive base salary.
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