AI Product Portfolio Leader - Strategy, P&L & Governance

EPAM Systems; México; Remote; MXN 1.200.000 - 2.400.000; Vollzeit

Benefits dieser Stelle

Healthcare benefits

Paid time off

Upskilling opportunities

Global career opportunities

Employee groups

Zusammenfassung

EPAM Systems is seeking a product leadership executive to guide a portfolio of AI-powered offerings, owning strategy, roadmaps and P&L. You will build and coach a team of Product Managers, shaping an AI-focused roadmap and governance framework.

Responsibilities include steering build/buy/partner decisions, ROI tracking, and tight cross-functional collaboration with engineering, data science and design teams while maintaining strong executive communication with senior stakeholders.

Qualifikationen

• 7+ years in Product Management with leadership of PM/PO teams.
• Proven track record delivering AI-powered products.
• Full ownership of vision, roadmaps, portfolio, and P&L.
• Strong financial modeling and ROI-based prioritization.
• Executive communication and stakeholder management.
• Fluent in English at a professional level.

Aufgaben

• Guide and grow a team of Product Managers across an AI-powered portfolio with full strategy and P&L accountability.
• Craft an AI-aware product strategy addressing differentiators and technology shifts.
• Lead build/buy/partner decisions for AI capabilities with ROI tracking and budgeting.
• Define responsible AI governance including privacy, security, and regulatory adherence.
• Foster cross-functional collaboration among engineering, data science, design and ML teams while maintaining product ownership.

Kenntnisse

AI strategy

PM leadership

P&L ownership

ROI analysis

Cross-functional leadership

Executive communication

English fluency

Jobbeschreibung

EPAM Systems is seeking a product leadership executive to guide a portfolio of AI-powered offerings, owning strategy, roadmaps and P&L. You will build and coach a team of Product Managers, shaping an AI-focused roadmap and governance framework.

Responsibilities include steering build/buy/partner decisions, ROI tracking, and tight cross-functional collaboration with engineering, data science and design teams while maintaining strong executive communication with senior stakeholders.