AI Strategy & Transformation Program Lead

Turner-

Houston (TX)

On-site

USD 175,000 - 200,000

Full time

37 hours ago

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Job summary

Turner & Townsend is seeking an experienced AI Strategy Technical Program Manager to lead practical AI applications across account operations, driving development, adoption, and measurement of AI solutions that improve delivery quality, productivity, and client outcomes. This player-coach role requires strategic leadership and hands-on AI prototyping.

Responsibilities include leading the AI vision and use-case portfolio, building prototypes and dashboards, and governing AI solutions with data

Qualifications

Bachelor’s degree in Engineering, Construction Management, Computer Science, Data Science, Analytics, Information Systems, Business, or a related field.
Significant experience leading technology-enabled transformation in complex delivery, engineering, construction, consulting, or capital-program environments.
Demonstrated experience building or deploying AI-enabled workflows, automations, agents, copilots, retrieval-based solutions, or similar tools.
Demonstrated portfolio of recently delivered AI assets, workflow automations, or decision-support solutions with evidence of user adoption and business impact.
Working knowledge of Python and SQL sufficient to inspect data, prototype logic, perform analysis, troubleshoot integrations, and review technical approaches.
Experience designing evaluation datasets, test cases, acceptance criteria, scoring approaches, regression tests, and human-review procedures for AI solutions.
Experience designing dashboards and measurement systems that connect AI usage to operational and commercial outcomes.
Good knowledge of AI grounding, retrieval, prompt design, context management, structured outputs, model limitations, and responsible human oversight.

Responsibilities

Lead the account AI vision, roadmap, standards, and prioritized use-case portfolio in alignment with leadership and AI objectives.
Identify and prioritize AI use cases across design, engineering, document control, project controls, commercial management, quality, commissioning, reporting, and operations.
Build and prototype AI solutions, including AI-enabled tools, source-grounded solutions, workflow automations, and API integrations.
Develop evaluation and testing frameworks to assess accuracy, grounding, consistency, usefulness, safety, latency, and human-review requirements.
Build dashboards and measurement systems connecting AI adoption and usage to productivity, quality, cycle time, risk, and commercial outcomes.
Establish and maintain a governed library of AI solutions, reusable workflow components, prompts, test packs, implementation guidance, and supporting documentation.