Asks for

The ad says“Experience supporting digital transformation, data strategy, AI, automation, analytics, or enterprise technology initiatives.”
The ad says“Experience supporting digital transformation, data strategy, AI, automation, analytics, or enterprise technology initiatives.”
The ad says“Experience supporting digital transformation, data strategy, AI, automation, analytics, or enterprise technology initiatives.”
The ad says“Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.”
The ad says“Understanding of how structured and unstructured data can be prepared, governed, and used to support AI solutions.”
The ad says“Understanding data governance, information management, data quality, metadata, and data lifecycle management.”
The ad says“Understanding data governance, information management, data quality, metadata, and data lifecycle management.”
The ad says“Experience supporting digital transformation, data strategy, AI, automation, analytics, or enterprise technology initiatives.”
The ad says“Experience supporting digital transformation, data strategy, AI, automation, analytics, or enterprise technology initiatives.”
The ad says“Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.”
The ad says“High proficiency with modern workplace environments and collaboration platforms such as Microsoft 365 and Google Workspace.”
The ad says“Understanding data governance, information management, data quality, metadata, and data lifecycle management.”
The ad says“Familiarity with programming languages such as Python, SQL, JavaScript, or similar technologies.”
The ad says“Knowledge of business intelligence and data visualization platforms such as Power BI, Tableau, Looker Studio, or similar tools.”
The ad says“Understanding data governance, information management, data quality, metadata, and data lifecycle management.”
The ad says“High proficiency with modern workplace environments and collaboration platforms such as Microsoft 365 and Google Workspace.”
The ad says“Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.”
The ad says“Knowledge of business intelligence and data visualization platforms such as Power BI, Tableau, Looker Studio, or similar tools.”
The ad says“Familiarity with programming languages such as Python, SQL, JavaScript, or similar technologies.”
The ad says“Familiarity with programming languages such as Python, SQL, JavaScript, or similar technologies.”
The ad says“We are seeking a strong AI Digital Consultant with a strong focus on systems implementation, data, analytics, and information management to support major capital programs and portfolios across all sectors.”
The ad says“Knowledge of business intelligence and data visualization platforms such as Power BI, Tableau, Looker Studio, or similar tools.”

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

We are seeking a strong AI Digital Consultant with a strong focus on systems implementation, data, analytics, and information management to support major capital programs and portfolios across all sectors.

Assessing client AI maturity, readiness, opportunities, and risks.
Supporting clients in establishing data strategies, governance frameworks, and information architectures required to enable AI adoption.
Identifying, documenting, and improving enterprise data sources for AI, analytics, and automation use cases.
Designing and implementing data models, knowledge repositories, and data structures that support AI applications and intelligent agents.
Developing and configuring AI agents, copilots, and automation solutions using Microsoft, Google, OpenAI, and other AI ecosystems.
Working with client stakeholders to identify, assess, and prioritize high-value AI use cases and business processes suitable for augmentation or automation. Working with client stakeholders to identify, assess and prioritize high-value AI use cases based on business value, feasibility, risk and readiness.
Defining AI operating models, governance processes, security controls, and responsible AI practices.
Supporting the integration of AI solutions with enterprise systems through APIs, data platforms, and workflow automation tools.
Developing proof-of-concepts, pilots, and production-ready AI solutions.
Advising on AI adoption, change management, training and user enablement, helping clients embed new solutions into business processes and ways of working.
Delivering workshops, demonstrations, and executive briefings on AI capabilities and implementation approaches.
Monitoring AI solution performance, adoption, and business outcomes to drive continuous improvement.

Skills and Experience

Relevant professional experience within a management consultancy, engineering consultancy, technology consultancy, or in-house digital transformation role.
Experience supporting digital transformation, data strategy, AI, automation, analytics, or enterprise technology initiatives.
Understanding of how structured and unstructured data can be prepared, governed, and used to support AI solutions.
Experience with AI platforms and technologies such as Microsoft Copilot, Azure AI, OpenAI, Gemini, Anthropic, AWS AI services, or similar tools.
Experience developing, configuring, or deploying AI assistants, agents, copilots, or workflow automation solutions.
Experience integrating enterprise systems, data platforms, and APIs.
Understanding data governance, information management, data quality, metadata, and data lifecycle management.
Familiarity with programming languages such as Python, SQL, JavaScript, or similar technologies.
Understanding common technology stacks, enterprise architecture principles, application architectures, and information architectures.
Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
Knowledge of business intelligence and data visualization platforms such as Power BI, Tableau, Looker Studio, or similar tools.
Ability to translate business challenges into practical AI, data, and technology solutions.
Experience facilitating workshops and engaging senior stakeholders.
Comfort constructively challenging the status quo and taking innovative ideas from concept through implementation.
Experience coordinating projects and workstreams, including planning meetings, managing actions, tracking delivery, and communicating with stakeholders.
Basic understanding of the construction process and common asset types across Real Estate, Infrastructure, and Natural Resources.
Excellent verbal, written, and presentation skills.
High proficiency with modern workplace environments and collaboration platforms such as Microsoft 365 and Google Workspace.
Ability to work effectively in fast-paced, multidisciplinary teams and collaborate across business, technology, and operational functions.
Oversee the delivery of AI pilots and enterprise-scale implementations across multiple client engagements. Lead defined AI workstreams, pilots and implementations, coordinating business and technical stakeholders to deliver successful client outcomes.

Qualifications

Degree or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Artificial Intelligence, Technology, or another STEM discipline, or equivalent professional experience - required.
Professional qualification or certification in AI, cloud technologies, data management, architecture, or project delivery - desirable.
Relevant certifications such as Microsoft Azure AI Engineer, AWS Certified AI Practitioner, Google Cloud AI, data management, or enterprise architecture certifications - desirable.

Additional Information

The salary range for this full-time role is $120K-$165K 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 client's 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/

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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.