Engagement Director, AI Advisory [ UAE Based]

JR United Kingdom; City Of London; On-site; GBP 90,000 - 150,000; Full time

Job summary

A leading company in AI solutions is looking for a Director of Engagement for their AI Advisory team in London. The role requires a visionary leader to guide AI strategies, manage transformative projects, and build client relationships. Candidates must have substantial consulting experience and expertise in AI technologies.

Qualifications

• 10+ years in management consulting or technology advisory.
• Strong knowledge of AI technologies and their applications.
• Proven track record with enterprise clients.

Responsibilities

• Lead AI strategy for C-suite clients.
• Drive complex AI transformation engagements.
• Mentor teams of consultants and AI specialists.

Skills

Communication

Stakeholder Management

AI Technologies

Digital Transformation

Leadership

Education

MBA

PhD

Degree in Business, Computer Science, or Engineering

Job description

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Engagement Director, AI Advisory [ UAE Based], london (city of london)

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Client:

AI71

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

Job Title: Director of Engagement, AI Advisory

About the Company

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

About the Role

We are seeking a visionary and results-driven Director, AI Advisory to lead our AI strategy and consulting engagements with C-suite clients. This role will be critical in shaping AI roadmaps, advising on large-scale transformations, and growing a high-performing team of consultants and data scientists. The ideal candidate combines deep business acumen with a strong understanding of AI technologies, governance, and adoption dynamics.

Responsibilities

• Serve as a trusted advisor to senior executives on AI strategy, adoption, and impact
• Lead complex AI transformation engagements from opportunity assessment through to execution
• Communicate technical concepts clearly to business leaders and stakeholders
• Design and deliver AI maturity assessments, strategic roadmaps, operating models, and use case portfolios
• Guide clients on responsible AI, data governance, and risk management
• Thought Leadership
• Represent the company in client briefing and, as required, at conferences, panels etc.
• Develop intellectual capital including whitepapers, frameworks, and methodologies
• Practice Development
• Build and scale the functional practice (e.g., Energy, Healthcare), including product offerings and delivery capabilities
• Mentor and lead multidisciplinary teams of consultants and AI specialists
• Commercial Growth
• Support business development through proposal creation, client presentations, and opportunity scoping.
• Drive revenue growth by cultivating long-term client relationships and identifying expansion opportunities.

Qualifications

• 10+ years in management consulting, technology advisory, or digital transformation, with at least 3 years focused on AI or advanced analytics
• Proven track record of leading high-impact engagements with enterprise clients
• Deep knowledge of AI technologies (e.g., machine learning, NLP, generative AI), and their practical applications.
• Understanding of AI governance, risk, and regulatory considerations
• Excellent communication, stakeholder management, and executive presence
• Advanced degree in Business, Computer Science, Engineering, or related field; MBA or PhD is a plus

Preferred Skills

• Industry specialization in healthcare, construction, land resources management, energy, or public sector
• Experience working in or advising AI/ML teams and data platforms