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In this role you will own the end-to-end delivery and evolution of one or more Data Technologies assets within Generali’s analytics portfolio. You will translate business demand into a prioritized backlog, align cross-team delivery, and manage the asset’s roadmap and KPIs. You’ll act as the primary interface between business stakeholders and engineering streams, driving timely decisions and risk-aware execution. This position offers impact across data platforms and AI-enabled products at scale, within a financially regulated environment.
Retribuzione / Benefits
Own delivery and evolution of one or more assets in the Data Technologies portfolio
Gather, qualify, and prioritize demand from stakeholders and translate into backlog and roadmap
Translate business needs into engineering-ready requirements with acceptance criteria
Coordinate cross-team delivery across multiple engineering streams and infrastructure teams
Align capacity and technical direction with engineering leads; broker resource allocation
Serve as primary interface between business and engineering; manage expectations and escalations
Run program-level activities: roadmap reviews, planning, risk/dependency reviews, demos
Define and monitor KPIs for asset (delivery, adoption, value, quality, cost) and report to leadership
Oversee productization from MVP to full rollout for scalable, economical products
Coordinate vendors and external partners ensuring quality and compliance
Continuously improve delivery practices, agile rituals, tooling and operating model
Identify and translate innovation opportunities (GenAI, automation, FinOps) into roadmap
Responsabilità
Bachelor's degree in Computer Science, Engineering, or related field
5 years of delivery management, program/project management, or technical product management experience
Fluent English xjrgpwk (written and spoken)
Solid background in software, data, or solution engineering with stakeholder engagement experience
Proven track record managing complex, multi-team programs with multiple stakeholders
Strong product management capability: demand intake, prioritization, roadmaps, value tracking
Mastery of AgileDelivery (Scrum, Kanban, SAFe) and PM tooling (Jira, Gitlab)
Working knowledge of modern cloud, data, and AI architectures (data platforms, lakehouse, MLOps, GenAI) at reading trade-offs
Experience in regulated environments, preferably financial services
Requisiti fondamentali
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