AI Strategy Technical Program Manager

Posted 2 Days Ago
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Houston, TX, USA
In-Office
175K-200K Annually
Senior level
Professional Services • Real Estate • Consulting
Delivering impactful projects and programmes across real estate, infrastructure, energy and natural resources.
The Role
Leads the account AI strategy, roadmap, use-case portfolio, governance, evaluation, adoption, and performance measurement. Builds and prototypes AI-enabled workflows, automations, agents, retrieval-based solutions, and API integrations; develops testing frameworks, dashboards, documentation, and production handoffs. Partners with technical teams, business leaders, users, and clients to drive responsible adoption, manage risks, communicate value, and connect AI usage to productivity, quality, operational, and commercial outcomes.
Summary Generated by Built In
Company Description

Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. 

Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people’s lives. Working in partnership makes it possible to deliver the world’s most impactful projects and programmes as we turn challenge into opportunity and complexity into success. 

Our capabilities include programme, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. 

We are majority-owned by CBRE Group, Inc., the world’s largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier programme, project and cost management offering in markets around the world. 

Job Description

Turner & Townsend are seeking an experienced AI Strategy Technical Program Manager to join our team. The ideal candidate will lead the practical application of AI across account operations, driving the development, adoption, and measurement of AI solutions that improve delivery quality, productivity, and client outcomes. This is a player-coach role requiring both strategic leadership and hands-on experience building, testing, and demonstrating practical AI solutions. 

 

Responsibilities: 

  • Lead the account AI vision, roadmap, standards, and prioritized use-case portfolio in alignment with Turner & Townsend leadership and strategic AI objectives. 
  • Identify and prioritize AI use cases across design, engineering, document control, project controls, commercial management, quality, commissioning, reporting, and operations. 
  • Personally 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. 
  • Lead through influence across a complex matrix organization, collaborating with functional leaders, subject-matter experts, AI champions, data owners, technical teams, and delivery teams. 
  • Drive adoption through demonstrations, champion networks, office hours, role-based training, and targeted change management initiatives. 
  • Govern account AI usage in accordance with client requirements, confidentiality obligations, access controls, data governance, and Turner & Townsend standards. 
  • Translate strategic AI standards and developments into practical account-level opportunities, guardrails, and implementation decisions. 
  • Communicate with senior account and client stakeholders regarding AI value, limitations, risks, and recommendations. 
  • Develop clear handoff packages for production engineering or platform teams when solutions require productionization. 
  • Report on AI adoption, benefits, pipeline, risks, lessons learned, and required leadership decisions. 
  • Maintain up-to-date knowledge of AI capabilities, responsible AI practices, workflow automation, data governance, and emerging AI technologies. 
  • SOX control responsibilities may be part of this role, which are to be adhered to where applicable. 

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. 
  • Working knowledge of data governance, privacy, confidentiality, access control, data loss prevention, intellectual property, and responsible AI practices. 
  • Ability to operate effectively without formal authority in a complex matrix organization and build trust with technical teams, functional leaders, frontline users, executives, and client stakeholders. 
  • Strong communication skills with the ability to translate technical concepts into clear business language and business problems into actionable technical solutions. 
  • Balances strategic thinking with a hands-on approach to building, testing, learning, and delivering practical solutions. 
  • Master’s degree or MBA in Engineering Management, Business Analytics, Computer Science, Data Science, Artificial Intelligence, or Technology Management preferred. 
  • Equivalent experience may be considered when supported by a strong portfolio of delivery and measurable outcomes. 
  • Travel up to 25% may be required based on account, client, team, and delivery needs. 

Additional Information

The salary range for this full-time role is $175K-$200K per year. Ranges are determined by role and level and represent a good faith effort to provide a fair and equitable salary. This range is a reflection of base salary only, not of a total compensation package.  Please note Turner & Townsend reserves the right to pay more or less than the posted range, depending on candidate’s experience and qualifications. 

*On-site presence and requirements may change depending on our clients' needs.*

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.

We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. 

Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.

Please find out more about us at www.turnerandtownsend.com/

Turner & Townsend does not accept any speculative or unsolicited CV’s that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV’s will be treated as a direct application.

All your information will be kept confidential according to EEO guidelines.
 

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It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. 

Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review. 

Skills Required

  • 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
  • Experience building or deploying AI-enabled workflows, automations, agents, copilots, retrieval-based solutions, or similar tools
  • Portfolio of recently delivered AI assets, workflow automations, or decision-support solutions demonstrating user adoption and business impact
  • Working knowledge of Python and SQL for data inspection, prototyping, analysis, troubleshooting integrations, and reviewing technical approaches
  • Experience designing AI evaluation datasets, test cases, acceptance criteria, scoring approaches, regression tests, and human-review procedures
  • Experience designing dashboards and measurement systems connecting AI usage to operational and commercial outcomes
  • Knowledge of AI grounding, retrieval, prompt design, context management, structured outputs, model limitations, and responsible human oversight
  • Working knowledge of data governance, privacy, confidentiality, access control, data loss prevention, intellectual property, and responsible AI practices
  • Ability to work without formal authority in a complex matrix organization and build trust with technical teams, leaders, users, executives, and clients
  • Strong communication skills translating technical concepts into business language and business problems into technical solutions
  • Ability to balance strategic thinking with hands-on building, testing, learning, and delivery
  • Master's degree or MBA in Engineering Management, Business Analytics, Computer Science, Data Science, Artificial Intelligence, or Technology Management
  • Up to 25% travel may be required
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The Company
HQ: Leeds, England
17,263 Employees
Year Founded: 1950

What We Do

Working in partnership makes it possible to deliver the world’s most impactful projects and programmes. Together with our clients, we turn challenge into opportunity and complexity into success across real estate, infrastructure, energy and natural resources.

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