Senior Program Manager, AI & Data

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.

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