Digital & AI Solutions Manager

About Mott MacDonald

At Mott MacDonald, we trust our brilliant people to do brilliant things in engineering, management, and development services, supporting multisector project work in over 150 countries. As one of the largest employee-owned companies in the world, we pride ourselves on our ability to deliver exceptional outcomes through our network of 20,000+ talented consultants. With sustainability and innovation at the heart of all our sectors in North America, including Buildings, Energy, Transportation, and Water.

We believe in empowering our people to excel, learn, and grow, offering diverse opportunities to contribute to career-defining work. Join us and be part of a collaborative environment where your ambitions are united with ours, and you can truly shape your story.

If you share that vision, even if you don’t meet every requirement listed, we’d still love to hear from you. We value potential and diverse perspectives as much as experience. Let’s explore how we can support your growth and help you take the next step in your career, while contributing to an exciting new chapter for Mott MacDonald in North America.

The Role of Digital & AI Solutions Manager

The Digital & AI Solutions Manager helps lead the way in using digital tools and artificial intelligence (AI) to support how projects are delivered in the region. Reporting to the Regional Knowledge and Information Manager, this person connects business needs with new digital ideas, making sure solutions are practical, safe, and add value to the organization.

The ideal candidate is skilled at working with people, understanding business challenges, and guiding teams to use digital and AI tools effectively.

Key Responsibilities

• Supporting Digital & AI Strategy: 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.
• Evaluating Project Solutions: Work with project teams to review and choose the right digital solutions, considering what will work best and bring the most value.
• Overseeing Solution Delivery: 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.
• Promoting Safe Use Of AI: Encourage the responsible use of AI tools, making sure they are used safely and follow company guidelines.
• Working With Others: Collaborate with other teams, clients, and partners to make sure digital solutions fit well with how the business operates.
• Leading And Developing People: Mentor and support team members, help them build new skills, and encourage sharing of knowledge and solutions across different projects.

Required Qualifications

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

Preferred Qualifications

• Prior experience in working with architecture, engineering, or construction (AEC) organizations.
• Stay updated on emerging technologies, trends, and tools in data management and AI.

Benefits & Reward

At Mott MacDonald, our employees have a stake and a voice in our business, providing them with a direct connection to our success through our personal and group performance bonuses. We provide a comprehensive benefit package that includes 401k, medical, dental and vision insurance, short-term/long-term disability, paid holidays, PTO, parental leave, and company paid life insurance.

Individual pay is determined based on several factors such as work location, education, experience, and unique skills.

The expected salary for this position in New York is $140,000 - $170,000.

The expected salary for this position in New Jersey is $135,000 - $165,000.

The expected salary for this position in California is $130,000 - $160,000.

Collaboration at Our Core

At Mott MacDonald, we believe great ideas happen when we’re together. Our hybrid approach centers on an in-office culture, with most of your time spent collaborating face-to-face and a minimum of three days per week in the office. We balance flexibility with connection, so you and your manager can choose how to meet client, team, and personal commitments.

Equal Opportunity Employer

Equal opportunity is the law. We seek to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, creed, marital status, sexual orientation, gender identity, citizenship status or disability status.

Key skills/competency

• Digital Transformation
• AI Strategy
• Project Management
• Data Architecture
• Machine Learning
• Business Intelligence
• Stakeholder Collaboration
• Team Leadership
• AI Ethics
• Innovation