Transportation Data Analytics Lead

VHB•Orlando, FL

2d•$110,000 - $145,000•Hybrid

About The Position

VHB is seeking a Transportation Data Analytics Lead to join its Technology Enablement Team. The role leads transportation data analytics initiatives across multidisciplinary service lines, applying data and technology to support transportation planning, operations, policy, and client decision-making. The position works with engineers, scientists, planners, designers, technologists, government agencies, and private-sector clients to develop integrated solutions that enhance communities, support economic growth, and promote environmental sustainability. The lead oversees complex transportation datasets and analytics programs; develops scalable dashboards, web applications, data platforms, and models; and establishes standards for architecture, ETL, governance, quality assurance, and statistical integrity. The role also manages and mentors analytics staff, communicates findings to technical and non-technical audiences, supports client engagement and business development, and advances innovation and continuous improvement. The position requires at least five years of advanced analytics experience in the engineering or transportation industry serving DOTs, transportation agencies, and/or state or federal governments. A master’s degree in a relevant discipline or equivalent experience is required, along with deep familiarity with transportation and mobility datasets, including connected vehicle and probe data. Applicants must be legally authorized to work for VHB in the United States without employer sponsorship. The full-time annual base salary range in Florida is $110,000–$145,000. VHB describes the work environment as flexible and hybrid.

Requirements

At least 5 years of experience with advanced analytics in the engineering or transportation industry, specifically providing services to DOTs, transportation agencies, and/or state or federal governments.
Master’s degree in Data Science, Engineering, Business Analytics, Computer Science, Statistics, Mathematics, or an equivalent discipline, or equivalent experience.
Deep understanding of transportation and mobility datasets, including connected vehicle and probe data sources.
Demonstrated experience leading large-scale transportation analytics programs and managing complex, high-volume datasets.
Advanced expertise in statistical analysis, predictive modeling, and data-driven decision support for transportation operations and planning.
Ability to establish data governance standards, quality controls, and scalable analytics frameworks across teams and projects.
Strong experience leading technical implementations using Databricks, SQL, Power BI, cloud data platforms, APIs, and enterprise analytics environments.
Expertise in spatial and non-spatial transportation datasets, data integration strategies, and scalable ETL pipeline development.
Advanced programming and automation skills using Python, R, or similar scripting languages.
Ability to communicate complex technical concepts and analytical insights to executive leadership, clients, and multidisciplinary stakeholders.
Experience facilitating collaboration across technical and non-technical teams while driving consensus and strategic alignment.
Experience supporting DOTs, transportation agencies, and public-sector clients with data-driven transportation planning and operational solutions.
Strong understanding of data privacy, security, and regulatory considerations in transportation analytics environments.
Legally authorized to work for VHB in the United States without employer sponsorship.

Responsibilities

Lead enterprise-level transportation data analytics initiatives across VHB’s multidisciplinary service lines, aligning technical solutions with client business objectives and organizational strategy.
Build, mentor, and manage teams of data analysts and technical specialists, fostering collaboration, innovation, and professional development.
Provide technical and strategic leadership for complex structured and unstructured transportation datasets and support data-informed decision-making for public- and private-sector clients.
Direct the design, development, and implementation of scalable dashboards, web applications, and data platforms for advanced analytics, operational reporting, and client-facing solutions.
Establish and oversee best practices for data architecture, ETL workflows, governance, quality assurance, and statistical integrity.
Lead the development, validation, and deployment of predictive, prescriptive, and machine learning models for transportation planning, operations, and policy decisions.
Identify emerging technologies, advanced analytics methodologies, and automation opportunities to improve efficiency, scalability, and business outcomes.
Translate complex analytical findings into actionable insights and strategic recommendations for executives, clients, and non-technical stakeholders.
Partner with engineers, planners, technologists, and client stakeholders to deliver integrated, data-driven transportation solutions.
Provide technical oversight and thought leadership for initiatives involving probe data, connected vehicle data, mobility analytics, and cloud-based platforms.
Develop standards, frameworks, and repeatable processes to improve analytical consistency, operational efficiency, and scalability.
Lead client engagement related to analytics strategy, technical solution development, project delivery, and business development support.
Train and mentor staff on advanced analytics tools, methodologies, and evolving industry practices, and champion continuous improvement and knowledge sharing.

Benefits

Eligible employees may participate in the VHB 401(k) plan.
Medical insurance.
Dental insurance.
Vision insurance.
Life insurance.
Disability insurance.
Wellness programs.
Tuition reimbursement.
Recognition programs.
Eligible employees may receive annual incentive compensation bonuses, spot bonuses, and merit-based salary increases.
Flexible, hybrid work environment.
Learning and development supported by evolving tools and technologies, including AI.