Solutions Managing Director, AI Tech Strategy & Consulting

Role Overview

The Solutions Managing Director of AI Tech Strategy & Consulting serves as a senior client advisor, business & tech builder and connector, and thought leader within the Solutions practice. This role is accountable for connecting specific solution domains to strengthen the end-to-end AI Solutions client messaging, offerings, solutioning & delivery capabilities. The MD operates at the intersection of business and technology — translating complex AI capabilities into boardroom-level strategies, driving engagement across multidisciplinary teams, and building trusted C-suite relationships that generate sustained revenue and long-term client partnerships.

What You Will Do

Serve as the trusted AI advisor to C-suite and senior technology leaders, drive executive workshops, AI maturity assessments, and operating model design for enterprise clients across industries, lead pursuit strategy for AI-focused engagements, partner with AI sales teams to support build of new AI pipeline, and evolve WWT’s AI service offerings, methodologies, and frameworks.

Why It Might Be a Fit

This role sits at the forefront of one of the most consequential technology shifts of our time. We are looking for leaders who not only advise, but who actively shape how enterprise organizations adopt it responsibly, at scale, and with lasting impact.

Requirements

• 15+ years of experience in technology consulting, strategy, and/or enterprise AI
• At least 5 years at a senior consulting leadership level (Director or above)
• Demonstrated track record of originating and closing $5M+ consulting engagements
• Experience managing $10M+ annual portfolios
• Deep experience advising Fortune 500 clients on AI strategy, data strategy, or digital transformation
• Hands-on understanding of the AI/ML lifecycle
• Hands-on understanding of AI tooling from workforce productivity to software development
• Experience with at least one major industry vertical (Financial Services, Healthcare, Manufacturing, Retail, Energy, or Public Sector)
• Fluency in enterprise AI platforms and ecosystems
• Working knowledge of GenAI, large language models (LLMs), agentic frameworks, RAG architecture, and AI governance models
• Understanding of data architecture, MLOps, and the enterprise infrastructure required to operationalize AI at scale
• Familiarity with AI risk, responsible AI principles, and regulatory landscape
• Executive presence with the ability to engage, influence, and build lasting relationships at the C-suite and Board level
• Strong commercial instincts — able to identify, structure, and close high-value opportunities
• Proven ability to lead, inspire, and develop high-performing consulting teams
• Excellent written and verbal communication skills

Benefits

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

Originally posted on Himalayas