Enterprise AI Product Lead: Hands-on & Portfolio Ownership

EPAM Systems Inc

México

Remoto

MXN 1.200.000 - 2.100.000

Tempo integral

há 46 horas
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Benefícios oferecidos por esta vaga

Healthcare benefits
Paid time off
Upskilling / reskilling courses
Global career opportunities

Resumo da vaga

EPAM Systems Inc. is seeking an experienced Product Manager to own the Enterprise AI portfolio end-to-end and provide a clear, trusted view of delivery, scope, and impact.

You will collaborate with developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams across global teams to design and implement AI agents and workflows using Claude, GPT, Glean, Gemini, and Bedrock. You will lead portfolio planning, define reusable patterns, establish best practices, and

Qualificações

  • 8+ years delivering technology programs across multiple teams
  • Experience building generative AI solutions with frontier models
  • Strong leadership, stakeholder management, and executive communication

Responsabilidades

  • Own the Enterprise AI portfolio end-to-end, serving as the single source of truth for scope, priority, status, dates, dependencies, risks, and owners
  • Design and build AI agents, assistants, and automated workflows hands-on using leading AI tools
  • Lead portfolio planning and prioritization with leadership and plan capacity across internal and contractor teams
  • Prepare and lead QBRs, deliver executive readouts to IT and company leadership, and provide regular status updates to sponsors

Conhecimentos

Leadership
Strategic planning
Cross-team collaboration
Stakeholder communication

Formação

Bachelor's or Master's in CS/Engineering/IT

Ferramentas

Jira

Descrição da vaga

EPAM Systems Inc. is seeking an experienced Product Manager to own the Enterprise AI portfolio end-to-end and provide a clear, trusted view of delivery, scope, and impact.

You will collaborate with developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams across global teams to design and implement AI agents and workflows using Claude, GPT, Glean, Gemini, and Bedrock. You will lead portfolio planning, define reusable patterns, establish best practices, and

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