AI Applications TPM for Global Enterprise Data & Insights

Electronic Arts; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Electronic Arts in Austin, TX is seeking a Technical Program Manager for AI Applications within the Enterprise Intelligence (EI) team. You will translate AI strategy into executable programs across globally distributed teams, including Austin and Hyderabad, driving AI/ML initiatives and data platform scaling.

You will lead Agile delivery, align stakeholders, manage budgets and roadmaps, and establish scalable planning and reporting to ship high-impact data-driven AI products.

Qualifications

• Bachelor's degree or equivalent experience in a technical field.
• Proven ability to manage complex, cross-functional initiatives.
• Experience coordinating across time zones and geographies.

Responsibilities

• Lead end-to-end program execution for AI Applications initiatives.
• Establish Agile rhythms across globally distributed teams.
• Partner with EI leadership, Engineering Ops, Product Management and stakeholders to align priorities.
• Drive capacity planning, budgets, and roadmap alignment for Austin and Hyderabad teams.
• Oversee budgets, staffing plans and external/vendor partnerships.
• Identify risks, issues and mitigations with proactive communication to leadership.
• Provide data-driven updates and recommendations for decision making.
• Improve delivery practices to scale AI applications.

Skills

Agile methodologies

Stakeholder management

Cross-functional collaboration

Communication

Program management

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Job description

Electronic Arts in Austin, TX is seeking a Technical Program Manager for AI Applications within the Enterprise Intelligence (EI) team. You will translate AI strategy into executable programs across globally distributed teams, including Austin and Hyderabad, driving AI/ML initiatives and data platform scaling.

You will lead Agile delivery, align stakeholders, manage budgets and roadmaps, and establish scalable planning and reporting to ship high-impact data-driven AI products.