Senior Program Manager, Data & AI

phData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms to deliver cutting-edge services and solutions. The Senior Program Manager will lead complex AI and data programs, ensuring successful execution and measurable client outcomes while fostering strong relationships with stakeholders.

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

Requirements:

• 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