AI Strategy Technical Program Manager

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.  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.  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.  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