Transportation Analytics Lead — Data Strategy & Insights

Vanasse Hangen Brustlin Inc.; New York (NY); Hybrid; USD 145,000 - 195,000; Full time

Job summary

Vanasse Hangen Brustlin Inc. is seeking a Transportation Data Analytics Lead to guide enterprise analytics initiatives across our transportation practice. You will mentor teams, shape data strategy, and deliver scalable dashboards and data platforms to support client decisions.

The role emphasizes machine learning, data governance, and collaboration with engineers, planners, and clients. Hybrid work with offices across footprints; bring deep experience with DOTs and mobility datasets to drive

Qualifications

• Minimum of 8+ years of experience with advanced analytics in the engineering/transportation industry specifically providing services to DOTs, transportation agencies and/or state and federal governments.
• Master's degree in Data Science, Engineering, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline; or equivalent experience.
• Applicants must be legally authorized to work for VHB in the U.S. 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 high-performing teams of data analysts and technical specialists, fostering collaboration, innovation, and professional development.
• Serve as the technical and strategic lead for complex structured and unstructured transportation datasets, driving data-informed decision-making for public and private sector clients.
• Direct the design, development, and implementation of scalable dashboards, web applications, and data platforms that support advanced analytics, operational reporting, and client-facing solutions.
• Establish and oversee best practices for data architecture, ETL workflows, governance, quality assurance, and statistical integrity across large and complex datasets.
• Lead the development, validation, and deployment of predictive, prescriptive, and machine learning models to support transportation planning, operations, and policy decisions.
• Drive innovation by identifying 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 executive leadership, clients, and non-technical stakeholders.
• Partner with cross-functional teams including engineers, planners, technologists, and client stakeholders to deliver integrated, data-driven transportation solutions.
• Provide technical oversight and thought leadership for transportation data initiatives involving probe data, connected vehicle data, mobility analytics, and cloud-based platforms.
• Develop standards, frameworks, and repeatable processes that improve analytical consistency, operational efficiency, and long-term scalability across projects.
• Lead client engagement efforts related to data analytics strategy, technical solution development, project delivery, and business development support.
• Champion continuous improvement and knowledge sharing by training and mentoring staff on advanced analytics tools, methodologies, and evolving industry practices.

Job description

Vanasse Hangen Brustlin Inc. is seeking a Transportation Data Analytics Lead to guide enterprise analytics initiatives across our transportation practice. You will mentor teams, shape data strategy, and deliver scalable dashboards and data platforms to support client decisions.

The role emphasizes machine learning, data governance, and collaboration with engineers, planners, and clients. Hybrid work with offices across footprints; bring deep experience with DOTs and mobility datasets to drive