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
- Ethical Navigators - Bring a grounded perspective on AI risk, fairness, and responsible use to every client conversation
Want to learn more about Consulting Services? Check us out on our platform:https://www.wwt.com/consulting-services Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $230,000 to $300,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
- Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
- Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
- Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program
Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.
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 in addition, bring market competitiveness and intelligence from the fast-paced changing AI and Tech landscape. The domains include but are not limited to: Security, Cloud, Digital & Data, Digital Workspace, Data Center and Cloud.
- 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.
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.
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.
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; 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
