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Data & AI Strategy Consultant – Engineering & Infrastructure

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Data Freelance Hub
Full Time, Part Time, Contract position
Listed on 2026-01-20
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Science Manager
  • Engineering
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 55 - 70 USD Hourly USD 55.00 70.00 HOUR
Job Description & How to Apply Below

Data & AI Strategy Consultant – Engineering & Infrastructure

This role is for a Data & AI Strategy Consultant – Engineering & Infrastructure, on a 12-month contract in Jersey City, NJ, paying $55.00 - $70.00 per hour. Requires 3+ years in AI strategy, 5+ years in engineering, and Azure experience.

Location:

Onsite – Jersey City, NJ (NY/NJ metro area).

Job Description:

Paramint LLC is seeking a Data & AI Strategy Consultant to support the Engineering Solutions group of a large public-sector transportation and infrastructure organization. You will lead Data and AI strategy for an engineering-focused department: defining data governance, shaping AI adoption and governance, driving staff upskilling, and building a roadmap to move the organization up the data maturity curve. This is a high-impact, part-time (4 days/week) consulting role with strong executive visibility and the potential to transition into a full-time position.

Key Responsibilities
  • Develop a Data Governance Strategy to support the agency’s digital transformation, including policies, standards, and processes.
  • Design an AI Strategy focused on AI adoption, AI governance, staff upskilling, and responsible AI.
  • Assess current Data Maturity across the organization and build a clear, staged roadmap to reach target maturity levels.
  • Embed Responsible AI principles into the vision and roadmap; help drive culture change toward innovation and experimentation.
  • Create a curation process for AI innovations and pilots across the organization.
  • Define and implement an AI Governance Risk Assessment process the organization can adopt.
  • Identify the people, processes, and technologies needed to develop, deploy, and operate AI solutions in an engineering context.
  • Plan and manage Data Governance initiatives from discovery and baseline assessment through delivery, knowledge capture, and handoff.
  • Collaborate closely with technical teams to ensure the department’s Data & AI strategy aligns with broader agency AI strategy.
  • Tackle complex information and technology problems as part of wider consulting engagements; design and implement solutions that demonstrate measurable value to the department.
  • Manage relationships with key internal stakeholders; identify opportunities for efficiency, collaboration, and return on investment.
  • Plan and assign project work to ensure timely delivery and effective use of resources.
  • Facilitate working groups and workshops to gather requirements and drive change, using interviews, document analysis, process mapping, and business analysis techniques.
Required Qualifications
  • Bachelor’s degree from an accredited college in Engineering, Data/Computer Science, or a related field; master’s degree highly desirable.
  • 3+ years leading AI strategy and executing AI initiatives in large organizations (not just building models, but shaping adoption and governance).
  • 5+ years of experience working in or for an engineering, design, or construction company, with a solid understanding of the tools, workflows, and business needs of this industry.
  • 2+ years of hands‑on experience with Microsoft Azure AI / Azure data and storage platforms and tools.
  • Strong proficiency with Microsoft Office 365 (Word, PowerPoint, Excel) and Adobe Acrobat Pro.
  • Excellent analytical and conceptual thinking skills.
  • Excellent oral and written communication skills; comfortable presenting to leadership and facilitating workshops.
  • Self‑motivated, able to prioritize multiple initiatives, meet deadlines, and manage changing priorities.
Work Model & Schedule

Onsite role in Jersey City, NJ (NY/NJ metro area). Part‑time: 4 days per week, Monday–Friday, standard business hours. The role may transition to a full‑time position based on performance and program needs.

Application Question(s)

Are you willing to work on a W2 Contract? This is NOT open for C2C/C2H or 1099.

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