Sr. Program Manager, AI & Data

New
P
phDataData and AI
US - RemoteFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AgileBusiness IntelligenceCloud ComputingFinancial Management

Requirements

  • Track record working directly with executive stakeholders.
  • Excellent written and verbal communication, including concise status and executive storytelling.
  • Significant consulting experience leading complex technology programs and owning delivery outcomes.
  • Deep experience with multi-workstream initiatives (data platforms, analytics, cloud, AI/ML).
  • Strong command of Agile/iterative delivery.
  • Experience managing budget, margin, and commercial risk on services engagements.
  • Familiarity with modern data stacks including Snowflake, AWS/Azure/GCP, modern BI, and ML platforms.
  • Prior experience leading remote, multi-geo teams strongly preferred.
  • Bachelor’s degree or equivalent experience in a relevant field.
  • Willingness to travel up to 50% per month (10 of 20 business days) when required.

Responsibilities

  • Lead and be accountable for the success of complex data and AI 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, engagement financials, and early risk/variance management using delivery metrics.
  • Build strong, trust-based relationships with senior clients, partners, and technology stakeholders.
  • Navigate ambiguity, conflicting priorities, and tough trade-offs with calm, data-informed recommendations.
  • Coordinate effectively with ecosystem partners to align roadmaps, funding, and delivery.
  • Shape a healthy, inclusive delivery culture by setting sustainable operating rhythms and coaching team members.
  • Contribute to the ongoing iteration and refinement of existing phData processes and methodologies.
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