Practice Lead - AI Strategy and Transformation

Role overview Build and scale an AI practice that helps internal teams and external clients adopt AI in ways that produce measurable business value. This senior role blends practice strategy, executive advisory, solution design, and hands-on experimentation, while developing repeatable methods and growing other leaders.

Responsibilities - Define the practice’s services, roadmap, and go-to-market approach; work with sales and marketing on service materials and thought leadership. - Advise executive clients on AI readiness, governance, risk, and implementation roadmaps. - Lead discovery workshops to identify practical use cases tied to business outcomes, and support pre-sales with presentations, demonstrations, and ROI models. - Evaluate, architect, and deliver AI proofs of concept, generative AI agents, and intelligent automation workflows. - Assess emerging language models, platforms, frameworks, and tools for client and internal use. - Create reusable accelerators, code and prompt templates, and frameworks that support delivery and explain expected productivity and innovation gains. - Build organizational capability by mentoring future leaders and representing the practice at industry and community events.

Requirements - Ability to connect technical AI choices with business value and advise senior client stakeholders. - Experience shaping AI services and roadmaps, leading client discovery, and supporting business development or pre-sales. - Capability to guide solution architecture and execute proofs of concept, AI agents, or automation workflows. - Strong communication and leadership skills, including mentoring and developing repeatable approaches for others. - Experience contributing to proposals or RFP responses is relevant; familiarity with Workday is a plus but not required.

Nice to have - Active involvement in pre-sales, solution architecture, and RFP responses. - Experience with Workday.