Strategy Data & AI Consultant

Jersey City, United States | Posted on 01/17/2026

Toll International was founded in 2005 at a time when public infrastructure, mass transit, urban development and construction project costs were rising uncontrollably while capital programs continued to irreparably fall behind schedule and overrun their budgets.

We took the lead on assisting public agencies and major private organizations with large scale capital programs wrap their arms around their improvement projects and developed an innovative approach of utilizing science and information technologies towards the orderly planning, development, engineering, architectural design and construction of the built environment while keeping a strong focus on managing budgets and schedules. Our brand promise is simple: "Complete every single one of our projects within the Quality Parameters defined jointly with our partners, complete the Scope of Work 1 Day Early and $1 below budget."

Company Overview

Toll International is a premier consulting firm based in New York City, specializing in comprehensive construction project management and technology-enabled solutions. Renowned for our dedication to delivering high-quality, cost-effective, and innovative results tailored to the unique needs of our clients, we lead infrastructure and digital transformation projects across New York State and beyond.

We are proud to partner with the Port Authority of New York & New Jersey (PANYNJ) on high-impact infrastructure and technology initiatives. We are currently seeking talented professionals to collaborate with subject matter experts, project managers, and process owners to deliver critical projects.

Position Overview

The Strategy Data & AI Consultant will play a key role in advancing the Engineering Department’s digital transformation by developing enterprise-wide data governance strategies, AI adoption frameworks, and innovation roadmaps. This position requires a highly analytical and strategic professional capable of driving complex organizational change, aligning technology strategy with operational needs, and collaborating with stakeholders across engineering, technical, and business units.

Working within the Engineering Solutions Unit, the consultant will assess data maturity, define governance models, build AI readiness plans, and lead initiatives supporting responsible AI adoption. This role will directly impact operational efficiency, technology modernization, and long-term digital innovation within the organization.

Key Responsibilities

• Develop a comprehensive Data Governance Strategy to support enterprise-wide digital transformation.
• Build an AI Strategy focused on AI adoption, governance, risk management, staff upskilling, and responsible AI integration.
• Assess organizational Data Maturity and create actionable roadmaps for improvement.
• Lead initiatives to embed innovation, experimentation, and responsible AI practices across the organization.
• Establish processes for the curation, evaluation, and deployment of AI innovations.
• Develop an AI Governance Risk Assessment framework aligned with agency-wide standards.
• Identify required people, processes, and technologies to support scalable AI solutions.
• Manage Data Governance initiatives from discovery through delivery and knowledge transfer.
• Collaborate closely with technical teams to ensure alignment with the Agency AI Strategy.
• Analyze complex problems from a technology and information perspective, proposing high-impact solutions.
• Build strong relationships with internal stakeholders to enhance collaboration, efficiency, and ROI.
• Plan and assign project work to ensure timely, high-quality deliverables.
• Facilitate working groups using interviews, workshops, business process reviews, and other discovery methods.

Required Qualifications

• Bachelor’s degree in Engineering, Data/Computer Science, or a related field;
  Master’s degree strongly preferred.
• Minimum 3 years of experience leading AI strategy and executing AI initiatives in large organizations.
• At least 5 years of experience in engineering, design, or construction environments, with a strong understanding of industry tools and workflows.
• Minimum…