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.