AI Implementation Leader

Glenn O. HawbakerState College, PA

About The Position

GOH is seeking a construction-focused AI Implementation Leader to drive practical integration of artificial intelligence across heavy civil construction, aggregates, asphalt, and trucking operations. At GOH, AI includes practical applications such as workflow automation, predictive analytics, optimization of dispatch and production, estimating improvements, safety enhancements, and data-driven decision support. This role may be filled at the Specialist, Project Manager, or Director level, depending on the candidate’s construction experience, AI implementation background, and leadership capability. The successful candidate will identify high-impact AI use cases, implement solutions that improve operational efficiency and safety, and deliver measurable financial results.

Requirements

  • Significant construction operational experience, particularly in heavy civil construction, aggregates, asphalt production, trucking, or related materials operations.
  • Demonstrated experience implementing AI, automation, advanced analytics, or other technology solutions that improve operational efficiency, safety, or business performance.
  • Experience working with cross-functional teams across operations, technology, and leadership.
  • Strong problem-solving and analytical skills.
  • Effective communication skills for both technical and non-technical audiences.
  • Proven leadership capability appropriate to the level of the role (Specialist, Project Manager, or Director).

Nice To Haves

  • Preferred: Bachelor’s degree in Engineering, Construction Management, Computer Science, Data Science, Information Systems, or a related field.
  • Strong technical background in data science, machine learning, or AI-related fields preferred.
  • Ability to quickly learn construction operations and apply technical solutions to real-world business challenges.
  • Construction experience preferred but not required at senior leadership depth.
  • Experience leading data, analytics, or technology-driven initiatives with demonstrated business impact.
  • Ability to understand operational context and ensure solutions align with business needs.
  • Strong construction operational familiarity preferred.
  • Strong operational credibility required (heavy civil construction or similarly complex operational environments preferred).
  • Proven experience advancing technology capabilities and driving organizational transformation.

Responsibilities

  • Evaluate field operations, plant production, dispatch logistics, job costing, estimating, safety workflows, and administrative processes.
  • Identify AI use cases that improve equipment utilization, dispatch efficiency, estimating accuracy, safety performance, and production yield.
  • Lead or support pilot programs and scale successful solutions.
  • Integrate AI tools into existing systems (ERP, dispatch platforms, telematics, plant systems, estimating software).
  • Develop KPIs tied to cost savings, productivity, and margin expansion.
  • Collaborate with operations, safety, finance, IT, and executive leadership.
  • Support training and adoption of AI tools across divisions.
  • Ensure responsible use of AI, including data governance and cybersecurity alignment.
  • Translate technical solutions into practical applications that deliver measurable business outcomes.
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