Sr. Consultant, Process Engineering and AI Strategy
Sand Cherry Associates · Denver, Colorado, United States · Posted Jun 24, 2026
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Company Profile
At Sand Cherry Associates, we excel in the design and delivery of strategic customer-centric initiatives through digitally native, data-empowered solutions. Our client’s confidence in us is centered on exceptionally skilled, high-energy talent working with the support of the full Sand Cherry team. Finding the right match for this role is a critical aspect of continuing that success.
Overview
We are seeking a Senior Consultant to lead AI strategy discovery within a global Telecommunications organization focused on optimizing the use of AI. This role will serve as a single, accountable lead driving discovery, shaping strategic recommendations, and aligning cross‑functional leaders around a prioritized AI roadmap. The ideal candidate blends executive presence, strategic thinking, data analysis, and facilitation skills to translate ideas into a clear, actionable AI strategy. This is a hybrid role that requires a few days onsite in either Denver, CO or Philadelphia, PA . Only candidates located in the Denver and Philly areas will be considered for this position. This role is not eligible for visa sponsorship, visa transfer or C2C candidates.
Responsibilities
Lead comprehensive discovery efforts, including interviews with internal stakeholders and cross‑functional teams, to identify where AI is desired, needed, and most impactful
Refine current ideas and uncover additional opportunities through discovery, research, and industry experience
Evaluate AI opportunities based on level of effort and business impact (e.g., revenue generation, cost savings, efficiency gains)
Develop and facilitate a prioritization framework and strategic AI roadmap
Craft and present a data‑driven AI strategy in executive‑ready PowerPoint presentations
Socialize and refine the strategy with senior leadership and the AI Committee
Design recommendations for an AI initiative tracking dashboard, including KPIs and success metrics
Develop an AI governance model, including RACI, operating standards, and decision frameworks
Create a project plan and roadmap, identifying risks, dependencies, and required change‑management activities