AI & Data Platform Product Lead (Hybrid)

Xoriant; Dublin; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Xoriant in Dublin is seeking a Technical Product Manager for AI, Data & Platform Engineering. This contract role is hybrid, requiring three days on-site weekly, and entails owning the roadmap and backlog for cross-functional platforms that span AI, data, agentic systems, and UX enablement.

You will translate business objectives into actionable product plans, lead cross-team collaboration across engineering, data, UX, architecture, and business units, and define epics, features, and acceptance

Formación

• Own platform product roadmap and backlog spanning AI, Data, Agentic, and UX enablement.
• Translate objectives into actionable product plans with measurable outcomes.
• Collaborate with engineering, data, UX, security, and architecture teams.
• Define epics, features, user stories, and acceptance criteria.
• Lead roadmap, release planning, and backlog refinement across teams.

Responsabilidades

• Lead roadmap planning, release planning, backlog refinement, and prioritization.
• Balance short-term delivery with long-term platform strategy.
• Drive architectural discussions and solution direction with engineering leaders.
• Establish success metrics and KPI frameworks.
• Foster a culture of experimentation and customer obsession.

Conocimientos

Roadmap planning

Backlog management

Stakeholder alignment

Cross-functional leadership

Technical product management

AI/ML platform experience

Data platform experience

Requirements gathering

Agile methodologies

Descripción del empleo

Xoriant in Dublin is seeking a Technical Product Manager for AI, Data & Platform Engineering. This contract role is hybrid, requiring three days on-site weekly, and entails owning the roadmap and backlog for cross-functional platforms that span AI, data, agentic systems, and UX enablement.

You will translate business objectives into actionable product plans, lead cross-team collaboration across engineering, data, UX, architecture, and business units, and define epics, features, and acceptance