Solutions Managing Director, AI Tech Strategy & Consulting

Qualifications and Requirements:

Experience 

• 15+ years of experience in technology consulting, strategy, and/or enterprise AI — with 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 preferred 

• Deep experience advising Fortune 500 clients on AI strategy, data strategy, or digital transformation 

• Hands-on understanding of the AI/ML lifecycle — from business case and use case prioritization to deployment and governance 

• Hands-on understanding of AI tooling from workforce productivity to software development and its broad application across WWT domains 

• Experience with at least one major industry vertical (Financial Services, Healthcare, Manufacturing, Retail, Energy, or Public Sector) 

Technical Depth 

• Fluency in enterprise AI platforms and ecosystems: Azure OpenAI, Google Vertex AI, AWS Bedrock, Salesforce Einstein, ServiceNow AI 

• 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 (EU AI Act, NIST AI RMF, sector-specific compliance) 

Leadership & Interpersonal 

• 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 while navigating complex client dynamics 

• Proven ability to lead, inspire, and develop high-performing consulting teams in a fast-paced, client-facing environment 

• Excellent written and verbal communication skills; ability to synthesize complex topics into clear executive narratives 

Education 

• Bachelor's degree required; advanced degree (MBA, MS in Computer Science, Engineering, or related field) strongly preferred 

• Relevant certifications in AI, cloud, or strategy frameworks are a plus (e.g., Google Cloud Professional ML Engineer, AWS AI Practitioner, TOGAF) 

Travel: 30% - 40%

Differentiating Competencies:

Candidates who thrive in this role typically demonstrate the following beyond baseline qualifications: 

• AI Translators — Can move fluidly between deep technical AI concepts and executive business strategy without losing either audience 

• Opportunity Architects — Naturally identify and shape white space opportunities within existing client relationships 

• Talent Multipliers — Elevate the teams around them; known for developing the next generation of consulting talent 

• Collaboration Catalysts — Build alignment across WWT practices, sales, and delivery teams; connect the right experts quickly to accelerate outcomes 

• Market Makers — Actively shape WWT market narrative through original ideas, partnerships, and industry visibility