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Ai Senior Program Manager

  • Ai Senior Program Manager job type Posted on: Oct 19, 2026
  • Ai Senior Program Manager experience level Ztek Consulting INC
  • Ai Senior Program Manager employment type Oak Park, Pennsylvania
  • Ai Senior Program Manager employment type Onsite
  • Ai Senior Program Manager salary Full-time

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Job Title :

Ai Senior Program Manager

Job Type :

Full-Time

Job Location :

Oak Park Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Tittle: AI Senior Program Manager

Location: Oaks, PA (Onsite)

Duration: Fulltime

Must Have Technical/Functional Skills

  • Proven track record of leading projects that bridge software engineer, data scientist, legal compliance and executive stakeholders.
  • Knowledge of Cloud computing knowledge (AWS, Google, Azure).
  • Costs associated to GPU.
  • Management of dependencies, budgets, long term strategic value across project.

Roles & Responsibilities

  • Manage multiple AI initiatives from use-case identification through implementation and value realization.
  • Establish an AI program roadmap, milestones, dependencies, risks, and governance.
  • Coordinate business, AI engineering, architecture, data, security, legal, risk, and operations stakeholders.
  • Establish a structured process for evaluating and prioritizing AI opportunities.
  • Work with stakeholders to develop business cases and measurable success criteria.
  • Track implementation cost, benefits, business outcomes, and AI ROI.
  • Facilitate decisions on whether a use case should employ GenAI, traditional ML, automation, or conventional application development.
  • Coordinate pilots and production implementations.
  • Manage resource requirements, dependencies, budgets, risks, issues, and executive reporting.
  • Establish repeatable program-management practices for scaling AI adoption.
  • Drive executive-level steering committee discussions and decision-making.
  • Cross-Functional Collaboration: Partner with data scientists, software developers, and product managers to align technical execution with business outcomes.
  • Technology Evaluation: Select optimal frameworks, vector databases, cloud services (AWS, Azure, GCP), and hardware resources for specific workloads.

Jobcon Logo Position Details

Posted:

Oct 19, 2026

Reference Number:

81797-1606

Employment:

Full-time

City:

Oak Park

Job Origin:

CIEPAL_ORGANIC_FEED

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Tittle: AI Senior Program Manager

Location: Oaks, PA (Onsite)

Duration: Fulltime

Must Have Technical/Functional Skills

  • Proven track record of leading projects that bridge software engineer, data scientist, legal compliance and executive stakeholders.
  • Knowledge of Cloud computing knowledge (AWS, Google, Azure).
  • Costs associated to GPU.
  • Management of dependencies, budgets, long term strategic value across project.

Roles & Responsibilities

  • Manage multiple AI initiatives from use-case identification through implementation and value realization.
  • Establish an AI program roadmap, milestones, dependencies, risks, and governance.
  • Coordinate business, AI engineering, architecture, data, security, legal, risk, and operations stakeholders.
  • Establish a structured process for evaluating and prioritizing AI opportunities.
  • Work with stakeholders to develop business cases and measurable success criteria.
  • Track implementation cost, benefits, business outcomes, and AI ROI.
  • Facilitate decisions on whether a use case should employ GenAI, traditional ML, automation, or conventional application development.
  • Coordinate pilots and production implementations.
  • Manage resource requirements, dependencies, budgets, risks, issues, and executive reporting.
  • Establish repeatable program-management practices for scaling AI adoption.
  • Drive executive-level steering committee discussions and decision-making.
  • Cross-Functional Collaboration: Partner with data scientists, software developers, and product managers to align technical execution with business outcomes.
  • Technology Evaluation: Select optimal frameworks, vector databases, cloud services (AWS, Azure, GCP), and hardware resources for specific workloads.

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