Digital & AI Solutions Manager

Description

• Mentor and support team members, help them build new skills, and encourage sharing of knowledge and solutions across different projects.
• Encourage the responsible use of AI tools, making sure they are used safely and follow company guidelines.
• Collaborate with other teams, clients, and partners to make sure digital solutions fit well with how the business operates.
• Stay updated on emerging technologies, trends, and tools in data management and AI.
• Help the Regional Knowledge and Information Manager find and focus on the best opportunities to use digital and AI tools, making sure they fit the needs of the business.
• Make sure digital and AI projects are completed successfully in the region. Lead teams, check that solutions meet quality standards, and ensure they follow company rules.
• Work with project teams to review and choose the right digital solutions, considering what will work best and bring the most value.

Requirements

• Adapt to evolving data landscapes and changing business needs.
• Experience in delivering AI projects, including selecting appropriate algorithms, implementing machine learning models, and deploying AI solutions. Proficiency in exploring data, identifying patterns and using business intelligence tools.
• Effective communication with business leaders, data scientists, and technical teams. Ability to advocate for data-driven decisions.
• Awareness of data privacy regulations, AI policies and their impact on data management and AI solutions.
• Understanding of business processes, objectives, and industry-specific challenges. Ability to align data initiatives with business goals.
• Bachelor’s degree in Business, Information Systems, Computer Science, or a related field.
• Demonstrated leadership in project-based, multi-disciplinary environments
• Prior experience in working with architecture, engineering, or construction (AEC) organizations.
• A Master’s degree or industry certifications related to digital or AI is a plus.
• Proficiency in designing and maintaining data architectures, including databases, data warehouses, and data lakes. Understanding of modern data architecture principles and best practices.
• 8 to 10 years of experience working with digital tools, data, or AI projects
• Ability to lead and mentor data professionals, collaborate with cross-functional teams, and manage project timelines.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance