Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Ai Senior Program Manager

  • Ai Senior Program Manager job type Posted on: Oct 15, 2026
  • Ai Senior Program Manager experience level SFE
  • Ai Senior Program Manager employment type Oaks, Pennsylvania
  • Ai Senior Program Manager employment type Onsite
  • Ai Senior Program Manager salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Ai Senior Program Manager roles in Pennsylvania.

View Salary Guide →

Job Title :

Ai Senior Program Manager

Job Type :

Full-Time

Job Location :

Oaks Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

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 15, 2026

Reference Number:

85556-7542

Employment:

Full-time

City:

Oaks

Job Origin:

CIEPAL_ORGANIC_FEED

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Ai Senior Program Manager    Apply

Click on the below icons to share this job to Linkedin, Twitter!

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.

Loading
Please wait..!!