Enterprise Strategist – Chief Architect - AI

CDW

3d•$168,000 - $240,000

About The Position

The Enterprise Strategist – Chief Architect - AI leads the strategy, development, and delivery governance of CDW's AI advisory consulting portfolio. The role helps customers move from AI interest to practical, governed, outcome-driven adoption through services covering AI strategy, governance, operating models, adoption, prioritization, and roadmaps. It partners with CDW technical solution groups to shape integrated customer solutions, leads complex AI advisory pursuits when engaged by sales teams, and provides technical and delivery judgment across advisory engagements. The position owns the direction and continuous improvement of AI advisory offerings, methodologies, delivery frameworks, and go-to-market assets. It develops standards and reusable materials for presales and delivery, keeps the portfolio current with market, customer, regulatory, ethical, and adoption considerations, and supports sales teams with education and opportunity qualification. The role advises customers and facilitates executive conversations, discovery, and workshops to define outcomes and shape advisory solutions. It develops proposals, statements of work, business cases, estimates, and related pursuit materials; translates business objectives into use cases, roadmaps, adoption approaches, financial considerations, and operating recommendations; and collaborates with technical groups and partners to form integrated solutions. It is accountable for delivery quality, standards, risk management, and methodology adherence, reviews key deliverables, provides escalation support and project oversight, and mentors delivery and presales colleagues. The role also meets billable utilization targets for project oversight and recommends staffing based on engagement needs and consultant capabilities.

Requirements

Bachelor's degree and 10 years of experience in artificial intelligence, AI strategy, AI governance, data science, machine learning, analytics, or related technology consulting disciplines; alternatively, 14 years of experience in those disciplines.
Experience with AI governance, organizational change management, operating model design, responsible AI considerations, and business adoption planning.
Understanding of AI technologies, data foundations, architectures, and implementation approaches sufficient to evaluate feasibility, identify risks, and collaborate with technical specialists.
Experience translating business objectives into AI advisory strategies, use cases, roadmaps, governance considerations, adoption approaches, and operating recommendations.
Executive-level communication, presentation, and facilitation skills with boards, C-suite executives, business leaders, technical teams, and cross-functional audiences.
Ability to understand customer needs, shape advisory solutions, and lead challenging conversations while maintaining credibility, clarity, and productive alignment.
Ability to build and communicate actionable strategic plans based on business objectives, future-state vision, customer context, and cross-discipline execution needs.

Nice To Haves

10 or more years of consulting experience.
Experience developing advisory offerings, consulting methodologies, service frameworks, or go-to-market assets.
Experience supporting complex presales pursuits, executive discovery, and consulting solution positioning.
Relevant certifications or professional development in AI, governance, enterprise architecture, data, transformation, or related advisory disciplines.

Responsibilities

Own the strategic direction, development, positioning, and continuous improvement of CDW's AI advisory consulting portfolio, including offerings, methodologies, delivery frameworks, and go-to-market assets.
Develop advisory standards, estimating models, delivery guides, sales enablement materials, thought leadership, and reusable assets for presales and delivery.
Monitor AI advisory market trends, customer needs, regulatory considerations, ethical standards, and adoption patterns.
Educate sales teams on AI advisory offerings, support opportunity qualification, and lead complex AI advisory pursuits when engaged by sales teams.
Facilitate executive conversations, discovery sessions, and workshops to define business outcomes, shape pursuit strategy, and position advisory solutions.
Develop proposals, Statements of Work, Letters of Understanding, business cases, RFP responses, level-of-effort estimates, and change request scopes for AI advisory engagements.
Advise customers on AI strategy, governance, operating models, adoption, prioritization, roadmaps, and business value realization.
Translate customer business objectives into advisory use cases, roadmaps, financial considerations, adoption approaches, and operating recommendations.
Partner with CDW technical solution groups and partners to develop integrated AI solutions combining advisory services and complementary technical capabilities.
Evaluate solution viability, challenge assumptions, identify risks, and collaborate with technical specialists.
Ensure advisory delivery quality, solution standards, delivery approach, risk management, and adherence to established methodologies across AI advisory engagements.
Review and approve key AI advisory deliverables for quality, consistency, and alignment with practice standards before customer delivery.
Serve as an escalation point for solution-related delivery challenges and help teams resolve complex issues while maintaining customer confidence.
Participate in project delivery to provide advisory expertise, project oversight, and alignment to customer outcomes.
Meet billable utilization targets for project oversight.
Recommend project staffing based on consultant skill level, advisory experience, and engagement needs.
Develop and execute a professional development plan to enhance AI advisory, consulting, and leadership capabilities.
Mentor and coach delivery and presales team members on advisory methodologies, consulting skills, solution standards, and customer engagement practices.