Solutions Managing Director, AI Tech Strategy & Consulting

Position 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
• Shaping and closing high-impact AI Tech engagements across enterprise clients, driving measurable business outcomes through responsible adoption of artificial intelligence
• Working across teams to infuse leverage of AI tooling into WWT solutions and execution

Key Responsibilities

• Client Leadership:
• Serve as the trusted AI advisor to C-suite and senior technology leaders (CEO, CTO, CDO, CAIO), translating ambiguous business challenges into structured AI roadmaps
• Drive executive workshops, AI maturity assessments, and operating model design for enterprise clients across industries
• Be the Client Executive Sponsor for strategic and complex AI programs
• Business Development & Revenue Growth:
• Lead pursuit strategy for AI-focused engagements — including RFP responses, orals, and executive presentations
• Partner with the AI sales teams to support build of new AI pipeline
• Partner with the appropriate WWT teams to develop co-sell motions and joint go-to-market strategies
• AI Practice & Thought Leadership:
• Evolve WWT’s AI service offerings, methodologies, and frameworks — contributing to practice-wide IP, accelerators, and delivery assets
• Represent WWT externally through speaking engagements, published POVs, industry panels, etc.
• Stay at the forefront of AI developments (GenAI, Agentic AI, AI Governance, MLOps) and translate emerging trends into client-relevant insights and WWT solutions
• Mentor and Develop Senior Managers and Directors:
• Mentor and develop senior managers and directors; contribute to recruiting, performance management, and talent strategy
• Cross-Functional Collaboration & Solutions:
• Collaborate with other practice leaders (Cloud, Data, Security, Digital Workspace, Automation, Networking, Data Center) to develop integrated, end-to-end AI transformation offerings
• Contribute to firm strategy discussions on market positioning, competitive differentiation, and investment priorities in AI

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)
• 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
• Familiarity with data architecture, MLOps, and the enterprise infrastructure required to operationalize AI at scale
• Understanding of 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
• Prowess in leading, inspiring, and developing 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

Qualifications and Requirements (continued)

• Relevant Certifications:
• 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%

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