Senior Program Manager, AI & Data
P
phDataData and AI
LATAM - RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AgileArtificial IntelligenceBusiness IntelligenceCloud ComputingSnowflakeFinancial ManagementStakeholder management
Requirements
- Significant consulting experience leading complex technology programs and owning delivery outcomes.
- Deep experience with multi-workstream initiatives, ideally in data platforms, analytics, cloud, or AI/ML.
- Strong command of Agile and iterative delivery methodologies.
- Executive-facing client leadership experience including executive storytelling and concise status reporting.
- Experience managing budget, margin, and commercial risk on services engagements.
- Familiarity with modern data stacks including Snowflake, AWS, Azure, GCP, BI tools, and ML platforms.
- Prior experience leading remote, multi-geo teams is strongly preferred.
- Bachelor’s degree or equivalent experience in a relevant field.
- Excellent written and verbal communication skills.
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 across all parties involved, including engagement financials, budget, burn, margins, and forecasting.
- Perform early risk and variance management using delivery metrics and communicate status effectively to stakeholders.
- Build strong, trust-based relationships with senior clients, partners, and technology stakeholders.
- Navigate ambiguity, conflicting priorities, and tough trade-offs with 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 processes and methodologies.
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