This is a highly client-facing role. You will operate as a hybrid Engagement Lead + delivery leader for AI and data programs, accountable for both execution and client outcomes. You will be the "one hand to shake", orchestrating multi-geo phData teams and partners; and ensuring technical delivery translates into measurable business impact. Core Responsibilities • Lead, and be accountable for the success of complex AI and data programs, serving as primary point of contact for client sponsors and partners. • Partner closely with technical delivery leads and execution teams to drive success and measurable client outcomes. • Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, and risk across multi-geo teams. • Own and actively manage scope across all parties involved. Own or co-own engagement financials (budget, burn, margins, forecasting), early risk/variance management using delivery metrics (e.g., burn, velocity, adoption, value realization), associated communication, and change control as necessary. • Build strong, trust-based relationships with senior client and partner business and technology stakeholders. • Navigate ambiguity, conflicting priorities, and tough trade-offs with calm, data-informed recommendations. • Coordinate effectively with ecosystem partners (e.g., Snowflake, ISVs) to align roadmaps, funding, and delivery. • Shape a healthy, inclusive delivery culture by setting sustainable operating rhythms and coaching PMs/Delivery Leads/consultants. • Contribute to the ongoing iteration and refinement of existing phData processes and methodologies. Qualifications • Executive-facing client leadership: Track record working directly with executive stakeholders; excellent written and verbal communication, including concise status and executive storytelling. • Consulting & engagement leadership: Significant consulting experience leading complex technology programs and owning delivery outcomes. • Program/delivery management: Deep experience with multi-workstream initiatives (ideally data platforms, analytics, cloud, AI/ML) and strong command of Agile/iterative delivery. • Commercial & financial ownership: Experience managing budget, margin, and commercial risk on services engagements and comfort discussing trade-offs with internal and client leaders. • Domain alignment: Familiarity with modern data stacks (e.g., Snowflake, AWS/Azure/GCP, modern BI, ML platforms), including risks and trade-offs. • Foundational: Prior experience leading remote, multi-geo teams strongly preferred; Bachelor's degree or equivalent experience in a relevant field. #LI-DNI